The Rapid Adoption of AI and Its Security Challenges

AI adoption is growing at an unprecedented pace. While it took 23 years for the internet to reach a billion users, AI is set to achieve that milestone in under seven years. AI is no longer a distant future—it is embedded in daily life, from email automation to cybersecurity monitoring.

However, as AI advances, so do the threats. Cybercriminals are using AI to develop sophisticated attack vectors, making data security a more significant challenge than ever. Organizations must embrace AI-powered security solutions to counter these risks.

Why Data Is the Prime Target?

Almost every modern cyberattack revolves around data. Whether through ransomware, insider threats, or direct data breaches, attackers target sensitive information to extract, manipulate, or ransom it.

This evolving threat landscape makes Data Security Posture Management (DSPM) essential in safeguarding critical business data and ensuring compliance with global security regulations.

The Rise of Data Protection Regulations

To address growing data security concerns, governments worldwide are implementing stricter compliance regulations. These mandates are reshaping how organizations handle and protect data.

Key Regulations Driving Compliance:

• RBI Guidelines: Ensuring financial data protection.
• SEBI Regulations: Strengthening security in asset management.
• DPDPA (Digital Personal Data Protection Act): Enforcing data privacy and compliance.

To avoid regulatory penalties and security risks, enterprises must align security strategies with these evolving compliance requirements.

The Complexity of Data Security

One of the biggest challenges in cybersecurity today is visibility. Data is spread across multiple repositories—on-premise, cloud, and hybrid environments. Many organizations struggle to answer:

• Where is sensitive data stored?
• Who has access to it?
• Is data being retained beyond regulatory limits?

Without proper visibility, securing data becomes nearly impossible. This is where AI-powered DSPM transforms security operations.

How AI-Powered DSPM Solves Visibility Challenges

Traditional security methods are no longer enough to handle today’s data security challenges. AI-driven Data Security Posture Management (DSPM) solutions, such as Forcepoint DSPM, leverage artificial intelligence and machine learning to:

• Enhance real-time visibility into sensitive data.
• Automate data classification and security enforcement.
• Streamline compliance monitoring to align with regulatory mandates.

Key Features of AI-Powered DSPM:

• AI-Driven Data Discovery: Automatically maps sensitive data across all environments.
• Classification & Tagging: Categorizes data based on compliance needs (DPDPA, PCI, GDPR, etc.).
• Data Lineage Tracking: Monitors how data moves and detects unauthorized access.
• Risk-Based Prioritization: AI identifies high-risk data assets and helps prioritize remediation efforts.
• Automated Compliance Mapping: Aligns data security with global and local regulatory frameworks.

Ensuring AI Works for You, Not Against You

The increasing complexity of compliance and security challenges means organizations must act now to integrate AI-powered DSPM into their security strategy. If you're interested in understanding how AI enhances data security, join CISO Platform, where industry leaders discuss emerging security trends and best practices.

>> Join CISO Platform (invite only Platform For CISOs)  and gain insights from global cybersecurity experts.

The Power of Pre-Trained AI Models

A significant advantage of Forcepoint DSPM is its pre-trained AI model, which eliminates the need for extensive manual configuration.

Unlike other solutions, Forcepoint’s AI is ready from day one, trained on 80 million synthetic files, allowing it to:

• Classify data contextually across industries (financial, healthcare, legal, etc.).
• Apply compliance-specific tagging for regulatory alignment.
• Analyze multi-dimensional data risks to strengthen security.

With this advanced AI engine, organizations can deploy DSPM faster and with greater accuracy.

Addressing Data Security Risks With AI

AI-powered DSPM enhances risk assessment by evaluating multiple security dimensions:

• Exposure Risk: Identifies publicly accessible or over-permissioned data.
• Storage Compliance: Detects data retention violations beyond regulatory limits.
• Sovereignty Violations: Alerts organizations about cross-border data movement risks.
• Duplicate & Redundant Data: Helps reduce unnecessary storage costs and security exposure.

By integrating AI-driven DSPM, organizations gain deeper visibility into data risks and can proactively mitigate security threats.

Integrating DSPM Into Your Security Strategy

A comprehensive data security strategy requires DSPM integration into existing frameworks. Key steps include:

• Implementing zero-trust security policies to control access.
• Continuously monitoring data flows across all repositories.
• Automating remediation and compliance tracking for faster threat mitigation.
• Aligning DSPM with Security Operations (SecOps) for real-time threat response.

Why Organizations Must Act Now

The demand for robust data security continues to rise. Organizations that fail to implement AI-powered DSPM solutions risk compliance violations, data breaches, and operational disruptions.

With regulatory pressures increasing, security leaders must adopt AI-driven strategies to maintain a strong security posture.

Cybersecurity is constantly evolving, and staying ahead requires collaboration and continuous learning. Join CISO Platform, the global cybersecurity community where experts share strategies, security frameworks, and compliance insights.

Join 10,000+ CISOs on www.cisoplatform.com and strengthen your organization’s data security posture.

AI is reshaping cybersecurity—make sure your organization is leading, not following.

The Digital Transformation of India

India’s rapid digital expansion is a defining force behind its economic growth. With initiatives like UPI, digital infrastructure is now an essential pillar of the nation's GDP. But digital transformation cannot move forward without strong cybersecurity foundations. Every new digital initiative must be anchored in security—without it, progress is fragile.

The Expanding Threat Landscape

Cybersecurity is no longer just about protecting data; it is about protecting national interests. The evolving threat landscape demands continuous adaptation. Attackers are becoming more sophisticated, and India’s critical sectors—government, defense, and BFSI—are prime targets.

Key Adversaries and Targets

• State-sponsored APT groups like APT 28 and APT 42 target government and defense.
• 33% of cyberattacks in India focus on these sectors.
• Manufacturing and mining are increasingly targeted, breaking the myth that only financial institutions are at risk.

The Rise of Ransomware in India

Ransomware remains one of the biggest threats, with two major groups responsible for nearly 46% of all ransomware attacks in India:

• LockBit
• DarkSide

If organizations strengthen their detection, mitigation, and response strategies against these groups, they can significantly reduce their risk exposure. AI-driven security automation and proactive defense strategies play a crucial role in achieving this.

The Challenge of Unpatched Vulnerabilities

One of the most alarming trends is the prevalence of unpatched vulnerabilities:

• 98% of organizations that suffered an exploit had vulnerabilities left unpatched for over five years.
• Meanwhile, the time to exploit a newly discovered vulnerability has dropped to just 3-4 days.

The patching gap is creating a security crisis. Organizations must prioritize vulnerability management and implement automated patching mechanisms to reduce exposure.

Strengthening India’s Cyber Resilience

India’s government and public sector are top targets for cyber adversaries. To strengthen cyber resilience, organizations must focus on:

• Risk Prioritization: Legacy systems and third-party suppliers introduce vulnerabilities.
• Security Frameworks: Adoption of NIST, IT-OT integration, and zero-trust models.
• Incident Response & Backup: AI-driven automation to detect, respond, and recover faster.

The Role of Cybersecurity Communities in Knowledge Sharing

With cyber threats evolving rapidly, collaborating with cybersecurity professionals is crucial for staying ahead. CISO Platform is a community that fosters discussions on emerging threats, regulatory challenges, and AI-driven security solutions.

>> Connect with CISO Platform (invite only Platform For CISOs) to navigate the evolving cybersecurity landscape.

AI in Cybersecurity: A Double-Edged Sword

Artificial Intelligence is changing cybersecurity. But it is also accelerating cyber threats. Attackers use AI-powered phishing kits, deepfakes, and automation to reduce the time needed to exploit vulnerabilities.

• AI-driven threats increase attack speed by 43%.
• The average time to exploit a new CVE is now under five days.
• AI enables Cybercrime-as-a-Service, allowing even low-skill attackers to execute complex attacks.

Using AI for Cyber Defense

While AI is aiding attackers, it can also be a game-changer for defenders. AI-powered cybersecurity must focus on:

• Threat Summarization: AI should help consolidate data and detect anomalies faster.
• Predictive Threat Modeling: Anticipating attacks before they occur.
• Security Automation: Reducing human dependency in repetitive security tasks.

A Platform-Based Approach to AI Security

For AI to be truly effective, it needs to work within a platform-based security approach rather than fragmented tools. This requires:

• XDR (Extended Detection and Response): AI-driven detection across multiple security layers.
• Network Security Consolidation: Secure networking solutions integrated with AI threat detection.
• Zero-Trust Security Models: Continuous authentication and least-privilege access.

The Path to Proactive Cybersecurity

Traditional cybersecurity has been reactive—responding to incidents after they happen. The shift toward proactive security is essential.This is where platformization plays a role. By consolidating security operations, organizations can detect, remediate, and automate faster.

The Three Pillars of Future Cybersecurity:
 1. Detection: Identifying threats faster
 2. Remediation: Rapid response and containment
 3. Automation: AI-driven security controls

Organizations that integrate platform-based security with AI-driven automation will have a strong defense against modern cyber threats. This is the future of India’s cybersecurity resilience.

Join the Cybersecurity Community

As cyber threats evolve, staying informed is crucial. Join CISO Platform, the cybersecurity community where experts discuss real-world security challenges and strategies. Connect with industry leaders and learn how to strengthen your security posture.

Join 10,000+ CISOs on www.cisoplatform.com and be part of the future of cybersecurity in India.

Cybersecurity is no longer a choice—it’s the foundation of a resilient digital future.

The Complexity of Software Supply Chains

Software supply chains are vast and intricate, much like the global manufacturing processes behind the latest technology products. Take an iPhone, for example. Millions of people contribute to its development, from factory workers assembling hardware to software engineers writing the code that powers it. Yet, despite this massive network of contributors, we trust these devices in our daily lives. But what if just one person in that chain were compromised?

A single vulnerability in the supply chain can have a domino effect. Cybercriminals are constantly looking for ways to infiltrate systems, and the software supply chain is a prime target. Attackers exploit weaknesses in third-party libraries, dependencies, and even build environments to insert malicious code that can go undetected for months or even years. The consequences? Data breaches, operational disruptions, and financial losses.

Understanding the Risk

Every organization relies on external software, whether it’s from large enterprises or small startups. The risk? Many companies do not invest enough in securing their software supply chains. Security professionals must assess not only their internal development environments but also the security of the third-party software they integrate.

Cyberattacks targeting supply chains are becoming more frequent and sophisticated. The infamous SolarWinds attack demonstrated how a single vulnerability in a trusted update could compromise thousands of organizations, including government agencies. Supply chain security is no longer optional—it is a necessity for modern cybersecurity strategies.

Development Environments: A Prime Target

• Developers can write and deploy code without security checks.
• Open-source dependencies are frequently used without verification.
• Virtual machines and ephemeral environments are spun up and down constantly, creating blind spots.
• Threat actors can insert malicious code into development environments, as seen in the SolarWinds attack.

The speed at which developers operate today is both an advantage and a challenge. With continuous integration and deployment (CI/CD) pipelines automating much of the software release process, security checks are often overlooked. Attackers understand this and exploit it by inserting malicious code into widely used repositories, leading to widespread security incidents.

The Challenge of Open-Source Code

• Developers often download and integrate code without reviewing it.
• Malicious packages in repositories like npm are widespread.
• Attackers wait months or even years before introducing malicious updates.
• Without proper scanning, organizations unknowingly introduce security risks.

Open-source software is a double-edged sword. While it accelerates development, it also introduces vulnerabilities. Developers often rely on third-party code without fully understanding its origins. Attackers take advantage of this trust by creating malicious versions of legitimate packages. Dependency confusion attacks, where attackers trick systems into downloading malicious versions of internal libraries, are becoming more common.

The Need for Developer Accountability

Supply chain security is a shared responsibility. Security leaders, developers, and vendors must work together to establish best practices.

>> Connect with CISO Platform (invite only Platform For CISOs)—a cybersecurity community where experts share insights on securing the software supply chain.

• Developers must be trained in secure coding practices.
• Security teams cannot oversee every decision; developers must take responsibility.
• Awareness programs should include detecting malicious code in open-source projects.
• Secure coding should be an integral part of the development process.

Training developers to recognize and mitigate security risks is critical. Security should not be an afterthought—it should be embedded into the development lifecycle. Developers must be equipped with the right tools and knowledge to identify vulnerabilities before they make it into production.

Secure Development and Data Classification

• Developers should classify their source code based on sensitivity.
• Organizations must track proprietary and open-source code separately.
• Accidental code leaks on public repositories are a significant risk.
• Proper classification ensures better security controls.

Data classification is often overlooked in software development. Developers may unknowingly expose sensitive code to public repositories, increasing the risk of data breaches. Organizations should implement strict policies to ensure that proprietary code remains protected while still allowing for efficient collaboration.

The Importance of Secure Build Pipelines

• The SolarWinds attack highlighted vulnerabilities in CI/CD pipelines.
• Threat actors can manipulate build processes to distribute compromised software.
• Organizations must implement strict access controls in build environments.
• Code signing and integrity checks should be mandatory before deployment.

The security of build pipelines is crucial in preventing supply chain attacks. Attackers target build systems to inject malicious code into legitimate software updates. Organizations must enforce strict access controls, monitor build processes, and ensure that only authorized code makes it into production.

Supply Chain Security Questions for Vendors

• Do they secure their development environments?
• Do they have a secure code repository?
• How do they manage vulnerabilities?
• Do they perform security testing before releasing updates?
• What measures do they take to prevent unauthorized access to their infrastructure?

Before integrating third-party software, organizations must conduct thorough security assessments of their vendors. Many breaches occur due to vulnerabilities in third-party applications, making vendor security assessments a key component of supply chain security.

Emerging Threats in Secure Development

• AI-driven tools offer promise but can also introduce new risks.
• Malicious open-source tools can be used to compromise environments.
• Organizations must vet new tools before integrating them.
• Adversaries use AI-generated malware to bypass traditional security defenses.

AI and automation are transforming software development, but they also present new security challenges. Attackers leverage AI to create sophisticated malware that can evade detection. Organizations must stay ahead by implementing advanced security solutions that can counter AI-generated threats.

Vulnerability Management and Asset Tracking

• Many security scans generate excessive false positives.
• Organizations must prioritize vulnerabilities based on exploitability.
• Less than 3% of OT systems receive regular patches.
• Asset management databases must track internet-facing systems.

Vulnerability management is essential in securing the software supply chain. Organizations must prioritize vulnerabilities based on real-world risk rather than simply reacting to every security alert. Proper asset tracking ensures that critical systems remain protected.

Physical Supply Chain Risks

• Hardware components can be tampered with during transit.
• Firmware integrity checks must be integrated into manufacturing processes.
• Organizations should validate hardware security before deployment.
• Secure shipping and handling procedures must be enforced.
• The physical supply chain is just as vulnerable as the digital one. Attackers can tamper with hardware components during shipping, introducing backdoors that remain undetected until deployment. Secure handling procedures and firmware integrity checks are critical in mitigating these risks.
• Attackers will continue to target development environments and distribution channels.
• Secure development lifecycles should be a priority for organizations.
• Vendors will face increasing scrutiny over their security practices.
• Organizations must continuously monitor and adapt to evolving threats.
• Cyber resilience must be a core part of every security strategy.

As cyber threats continue to evolve, so must security strategies. Organizations must take a proactive approach to securing their software supply chains. Continuous monitoring, real-time threat intelligence, and collaboration with industry partners are essential in staying ahead of adversaries.

Join 10,000+ CISOs on www.cisoplatform.com and connect with industry experts, share insights, and strengthen your security posture.

About Cassie Crossley:

Cassie Crossley is the Vice President of Supply Chain Security at Schneider Electric, specializing in end-to-end software, firmware, and hardware security. An author, cybersecurity leader, and advocate for supply chain security, she actively contributes to CISA SBOM working groups and has been recognized as an SC Media Women in IT Security Power Player. At the CISO Platform Top 100 Awards 2025, she delivered a keynote on "Software Supply Chain Security," addressing third-party risks, secure development, and emerging cyber threats. Her expertise continues to shape global cybersecurity policies and best practices.

Follow Cassie Crossley on:

• Twitter (X) : @Cassie_Crossley

•  LinkedIn:   linkedin.com/in/cassiecrossley

Why AI Should Be a Deputy, Not a Leader

There is an ongoing debate about AI in leadership roles. Instead of assigning AI a leadership position, why not position it as a Deputy CISO? The idea is not to replace human expertise but to allow AI to assist, automate tasks, and remove errors that human professionals may make.

AI can serve as a digital aid to a CISO, handling repetitive processes while improving security operations and compliance efforts. Though it may not yet be fully deployed in enterprises, its emergence indicates that AI has the potential to augment and enhance security leadership.

Google LM: A Practical AI Use Case

One real-world example of AI’s potential is Google LM. This AI tool enables cybersecurity professionals to:

• Upload information security policies and relevant documents.
• Query AI to generate customized policies, procedures, and forms.
• Ask compliance-related questions and get answers strictly based on uploaded documents.
• Listen to AI-generated podcasts that provide interactive answers to security concerns.

By leveraging tools like Google LM, organizations can enhance policy management and compliance tracking without relying solely on manual effort.

AI in Compliance: Managing DPDPA, GDPR, and CCPA

A Deputy CISO AI can assist with navigating complex regulatory landscapes, including:

• DPDPA (India’s Data Protection Act)
• GDPR (General Data Protection Regulation - Europe)
• CCPA (California Consumer Privacy Act - US)
• PIPA (Personal Information Protection Act - Canada)

By integrating these regulations into AI-powered systems, organizations can ensure compliance while reducing human error in policy enforcement.

AI for Threat Detection & Real-Time Monitoring

A Deputy CISO AI is not just about compliance—it plays a critical role in real-time security monitoring. AI can:

• Scan threat intelligence feeds from multiple sources.
• Prioritize security alerts to reduce false positives.
• Generate summary reports for CISOs to present to leadership.

Instead of manually sifting through overwhelming security data, AI enables a faster, more efficient approach to threat management.

The Role of AI in Security Leadership

Cybersecurity is rapidly evolving, and AI is increasingly being used to assist policy enforcement, risk assessment, and compliance tracking. To keep up with these developments, CISO Platform provides a space for security leaders to exchange insights, strategies, and best practices.

 >> CISO Platform (Invite Only Platform for CISOs) and engage with industry leaders driving     AI-powered security advancements.

AI in Legal Risk Management

CISOs often take on the role of Data Protection Officers (DPOs), managing legal risk in addition to security oversight. A Deputy CISO AI can:

• Identify compliance gaps before they turn into legal liabilities.
• Assess legal risks based on industry regulations.
• Generate strategies for regulatory defense and incident response.

AI and Data Localization Laws

Data localization regulations are shaping the way organizations handle sensitive information. A Deputy CISO AI can:

• Analyze jurisdiction-specific compliance requirements.
• Provide guidance on cross-border data storage risks.
• Ensure adherence to RBI, SEBI, and TRAI data protection policies.

With AI’s ability to analyze vast amounts of legal data, organizations can align with evolving regulatory requirements while mitigating legal risks.

AI as a Knowledge Hub for CISOs

CISOs do not always have the time to analyze every policy update, regulation, or security alert. However, AI can:

• Process and analyze incident reports.
• Compare legal case studies and compliance frameworks.
• Generate real-time insights for strategic decision-making.

By leveraging AI as a Deputy CISO, organizations can automate policy recommendations, security operations, and compliance audits.

AI-Driven Decision Making

A Deputy CISO AI enhances decision-making by:

• Providing data-driven insights for security strategy.
• Reducing security noise by prioritizing actionable threats.
• Acting as a compliance consultant by cross-referencing regulatory frameworks.

Preparing for AI in Cybersecurity

AI will continue to play a pivotal role in cybersecurity, assisting CISOs with policy enforcement, risk mitigation, and legal compliance. Organizations that adopt AI-driven security solutions now will be better equipped for future threats and regulatory changes.

As the cybersecurity landscape evolves, AI will become a standard feature in risk assessment, compliance, and security automation. Organizations that integrate AI-powered SIEM and policy enforcement tools will stay ahead of emerging threats.

Join 10,000+ CISOs on www.cisoplatform.com and be part of the next cybersecurity revolution.

AI isn’t here to replace CISOs—it’s here to empower them. The future of security isn’t just human. It’s AI-powered.

About Prashant Mali:

Adv. Dr. Prashant Mali is a renowned cybersecurity lawyer, author, and expert in cyber law, AI, and data protection. With a Ph.D. in International Cyber Law and over 25 years of experience, he has advised organizations on cybercrime, compliance, and risk management. At the CISO Platform Top 100 Awards 2025, he delivered a keynote on "AI as a Deputy CISO," exploring how AI can assist in policy management, legal compliance, and real-time threat intelligence. His insights continue to shape the intersection of law, AI, and cybersecurity governance.

Follow Prashant Mali on:

• Twitter (X) : @AdvPrashantMali

•  LinkedIn:    linkedin.com/in/prashantmali

The Evolution of SIEM and AI Adoption

Cybersecurity is constantly evolving, and SIEM (Security Information and Event Management) has undergone a transformation to keep up. The integration of AI-driven technologies has shifted SIEM from traditional log management to a dynamic, intelligent security solution capable of real-time threat detection and response.

The Legacy and Evolution of SIEM

Understanding where SIEM comes from is crucial to appreciating its future. The journey of SIEM has been shaped by major milestones:

• 2009: The rise of User and Entity Behavior Analytics (UEBA), focusing on insider threats.
• Next-Generation SIEM: The shift to cloud-native solutions ahead of competitors.
• 2023: Integration with Snowflake Data Cloud, unifying detection, investigation, and response.
• Securonix EON: The AI-powered SIEM designed for the next era of cybersecurity operations.

These innovations have made SIEM smarter, faster, and more effective in handling modern cyber threats.

Key Market Challenges in Cybersecurity

The World Economic Forum (2024-2025) highlights major security challenges that organizations face today:

• AI-Driven Threats: Attackers are leveraging AI to develop more sophisticated cyberattacks.
• Expanding Attack Surfaces: Cloud adoption, remote work, and OT environments introduce new vulnerabilities.
• Skill Shortages: The industry struggles to find cybersecurity professionals with specialized expertise.
• Regulatory Pressure: Compliance mandates like SEBI guidelines and the DPDPA are adding complexity.

Addressing these challenges requires a smarter, AI-driven SIEM that not only detects threats but also adapts and responds autonomously.

The Future with AI-Powered SIEM

Three Key Design Principles of Securonix EON

AI-Reinforced Platform

• AI enhances multiple layers of detection and response.
• Reduces false positives, improving analyst efficiency.
• Speeds up Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR).

Cybersecurity Mesh

• Allows organizations to integrate best-fit technologies without disrupting existing architectures.
• Portable analytics and federated search reduce the need for data duplication.

Frictionless User Experience

• Automated tuning of security policies reduces noise.
• Provides contextual insights to analysts for rapid response.

AI-Powered Adaptive Threat Modeling

Traditional threat detection relied on predefined signatures and static models. However, attackers are evolving, requiring SIEM platforms to dynamically generate threat models based on real-time intelligence.

• LLMs (Large Language Models) in SIEM: AI analyzes user behavior to detect malicious intent.
• Noise Cancellation SIEM: AI-driven systems reduce false positives by over 50%.
• Adaptive Threat Modeling: Boosts threat detection efficiency by 85%.

The Role of AI in Analyst Productivity

Security analysts spend most of their time filtering false positives. AI can automate repetitive tasks, allowing analysts to focus on actual threats. The evolution of SIEM is similar to how Google search transitioned to AI-powered chat responses—AI is reducing noise and delivering direct, actionable insights.

Cost-Effective Data Management with Cyber Data Fabric

Data ingestion costs in SIEM deployments can be significant. Many organizations ingest compliance-driven data without needing real-time analytics, leading to unnecessary expenses.

The Cyber Data Fabric Approach:

• Stores compliance data at a fraction of traditional SIEM costs.
• Potentially reduces data storage expenses by 30-40%.
• Separates high-priority analytics data from regulatory storage data.

In today’s cybersecurity landscape, cost-efficiency matters as much as security. AI-driven SIEM platforms offer both.

The Road Ahead: AI-Driven Cybersecurity Evolution

AI-powered SIEM platforms are revolutionizing cybersecurity by:

• Automating threat detection and response.
• Reducing operational costs through smart data management.
• Providing security analysts with real-time, contextual intelligence.

Want to Stay Ahead in Cybersecurity?

Security leaders are now looking beyond traditional SIEM—AI-driven automation is the future. If you’re looking to understand how AI can transform your cybersecurity strategy, become part of CISO Platform, where experts discuss next-generation security solutions.

>>Join CISO Platform (invite only Platform For CISOs) and gain exclusive insights from top CISOs.

The Future of SIEM AI Automation & Autonomous Cybersecurity

The future is here, and the cybersecurity industry is evolving faster than ever. Organizations must embrace AI-powered security solutions to stay ahead of modern cyber threats.

The cybersecurity industry will not slow down—neither will the attackers. The only way forward is to adopt AI-driven SIEM solutions that enhance security visibility, reduce false positives, and automate threat detection.

AI is no longer just a buzzword—it is a necessity in modern cybersecurity operations. Is your organization ready to evolve?

Join 10,000+ CISOs on www.cisoplatform.com and connect with global security leaders shaping the future of cybersecurity.

Cybersecurity isn’t just about defense—it’s about staying ahead. The time to act is now.

CISO Platform Top 100 Awards & Annual Conference 2025 @Bangalore, last month saw over 200+ attendees making the the spirit of knowledge sharing and learning a huge success among the senior cybersecurity executives of India. Here are the panel discussions from the conference:

It was held on 21st Feb, Clarks Exotica, Bengaluru, India.

Panel Discussions:

1. Implementing DPDPA For CISOs - Click Here

2. Evaluating AI Solutions: Understanding The "Real" vs "Hype"? - Click Here

3. 2025 Top Security Goals For A CISO - Click Here

4. AI For Bad vs Good: AI Use Cases For Offense and Defense - Click Here

5. Top Trends In Cybersecurity In 2025 - Click Here

Keynotes:

(P.S. The following blogs and session videos are currently in preparation. We’ll share the links as soon as they’re ready.)

1. Future Of SIEM: AI Automation & Autonomous Cybersecurity - Click Here

2. Orientation: The CISO Platform Community - Click Here

3. Building A Resilient Digital India: Cybersecurity In The Age Of AI - Click Here

4. AI As A Deputy CISO - Click Here

5. Unveiling AI Powered Data Security Posture Management With DPDPA Compliance - Click Here

6. Software Supply Chain Security - Click Here

7. Demonstration Of AI & Automated Attack Trees For Offensive Security 

Round Tables:

(P.S. The following blogs and session videos are currently in preparation. We’ll share the links as soon as they’re ready.)

1. Cloud Data Security Taxonomy For DPDPA - Click Here

2. Simplifying Financial Regulatory Compliance Using Fortinet Security Fabric

3. Implementing SEBI's CART Guidelines: Strategies, Challenges, And Practical Compliance Solutions

4. Neutralize Attack Paths And Exposure: Adopting An Attacker's Perspective - Click Here

Photo Album

Some great photographs have been compiled into an album. Help us Tag you ( Tag yourself ) and let us know if you want to add some pictures you took at the event. Email - pritha.aash@cisoplatform.com

Here's the Photo Album link - Click Here

The Challenge of Data Protection in a Digital World

The Digital Personal Data Protection Act (DPDPA) is here. It’s changing how organizations handle data, shifting power to individuals, and making CISOs rethink their strategies. This isn’t just another regulation—it’s a fundamental shift in data security, privacy, and compliance.

Key Questions Explored:

• How does DPDPA differ from other data protection laws like GDPR and PDPA?
• What are the key challenges organizations face in implementing DPDPA?
• What steps must CISOs take to manage consent, data retention, and breach response effectively?
• How can organizations navigate third-party risk management under DPDPA?
• What role does AI play in data protection, and how can it be integrated within a compliance framework?

Understanding DPDPA – The Basics for CISOs

At its core, DPDPA is about accountability. Organizations must protect personal data, respect user rights, and implement strong security measures. Key principles include:

• Digital-Only Scope: Unlike GDPR, which covers all personal data, DPDPA focuses strictly on digital data.
• Controller vs. Processor Roles: Unlike GDPR, DPDPA places more accountability on data controllers rather than processors.
• Cross-Border Data Transfers: Unlike GDPR’s structured mechanisms, DPDPA simply prohibits transfers to blacklisted nations without providing clear transfer mechanisms.
• Age of Consent Differences: GDPR allows for a consent age of 13-16 years, whereas DPDPA sets it at 18.
• Breach Notification Requirements: GDPR uses a risk-based approach, while DPDPA mandates full disclosure in all cases.

For CISOs, the question isn’t whether DPDPA applies—it’s how to implement it effectively.

The CISO’s Action Plan for DPDPA Compliance

1. Data Discovery & Classification – Know What You Have

You can’t protect what you don’t know. The first step is understanding what personal data your organization collects, processes, and stores.

• Identify Sensitive Data: Map out where personal data resides within the organization.
• Classify Data by Risk Level: High-risk data (financial, health, biometric) needs stricter security.
• Create a Data Inventory: A central repository helps track data sources and ownership.

2. Consent Management – Building Trust with Users

Under DPDPA, consent isn’t just a checkbox—it’s a commitment. Organizations need:

• Clear Opt-in Mechanisms: Users should actively consent to data collection.
• Granular Control: Users must manage their preferences, such as opting out of specific data uses.
• Audit Trails: Maintain logs of consent requests, approvals, and withdrawals.

Stay Ahead of Data Protection Challenges

Data privacy isn’t just about compliance—it’s about building trust. Engaging with experts and leveraging best practices can help businesses stay ahead of evolving regulations. Join the cybersecurity conversation at CISO Platform (Invite Only Platform for CISOs).

3. Security Controls – Fortifying Data Protection

Security isn’t optional under DPDPA. CISOs must implement strong technical controls, including:

• Encryption: Protect data at rest and in transit.
• Access Controls: Role-based access ensures only authorized users handle sensitive data.
• Anomaly Detection: AI-driven monitoring detects suspicious activities.
• Incident Response Plans: Clear strategies for breach detection, reporting, and containment.

4. Third-Party Risk Management – Closing the Supply Chain Gaps

Vendors and service providers process personal data, creating compliance risks. CISOs must:

• Conduct Vendor Assessments: Ensure third parties follow DPDPA requirements.
• Define Clear Contracts: Establish security expectations in agreements.
• Monitor Vendor Compliance: Continuous audits prevent data leaks from weak links.

5. Data Retention & Disposal – When to Let Go

Holding onto data indefinitely is a risk. Organizations must:

• Define Retention Policies: Align with legal and operational requirements.
• Automate Data Deletion: Set expiration timelines for unnecessary data.
• Ensure Secure Disposal: Use certified destruction methods for sensitive records.

DPDPA is not just a regulation—it’s a shift toward responsible data management. For CISOs, compliance means balancing security, transparency, and user rights. The best organizations won’t just meet DPDPA requirements—they’ll set new standards for data privacy.

Be Proactive. Be Secure. Be Compliant.

Join 10,000+ CISOs on CISO Platform

CISO Contributors: 

- Vijay Kumar Verma, Senior VP & Head Security Engineering - BCG
- Kabilan RK, Senior Manager - Tamilnad Marcantile Bank
- Sreenivas Vempati, Director IT Governance & Cybersecurity - RR Donnelley & Sons Co
- Manikant R Singh, VP & CISO - DMI Finance Private Limited
- Vidya Jayaraman, Executive Director Information Security & Compliance - AGS Health Private Limited
- Rajiv Bahl, Sr. VP & Field CTO - St. Fox Consulting Pvt. Ltd.

The AI Buzz – Reality or Just Noise?

AI is everywhere. Every company talks about it. Every industry wants to use it. But is AI delivering real value, or are we just riding a wave of overhyped promises? The reality is somewhere in between. While AI has made significant strides in automation, cybersecurity, and business intelligence, not all AI solutions live up to their claims. Organizations must learn to distinguish between genuine AI-driven transformation and exaggerated marketing hype.

Key Questions Explored:

• Is AI becoming a reality in organizations, or is it still more hype than substance?
• How are companies evaluating AI solutions—through traditional frameworks like Gartner or hands-on technology testing?
• What are the major AI-driven transformations happening in industries like insurance, healthcare, and cybersecurity?
• How is AI being leveraged for risk monitoring, fraud detection, and compliance?
• What steps are organizations taking to ensure responsible AI usage and prevent misuse?
  

AI in Action – Real Use Cases Across Industries

Power Sector – AI for Efficiency and Security

AI is transforming how energy companies manage infrastructure. In power grids, AI helps:

• Detect and respond to outages faster, minimizing downtime and improving reliability.
• Automate customer support for handling thousands of queries efficiently.
• Optimize grid performance, predicting failures before they happen and preventing blackouts.
• Enhance security by identifying potential cyber threats targeting critical infrastructure.

Insurance Sector – AI for Claims and Risk Management

Insurance companies are integrating AI to streamline operations and reduce fraud risks:

• Automated Claims Processing: AI-powered bots analyze claim data, detect anomalies, and approve or flag suspicious claims within minutes.
• Fraud Detection: AI identifies unusual claim patterns that might indicate fraudulent activity, improving risk assessments.
• Customer Risk Profiling: AI models assess policyholders' behavior and categorize them based on risk, allowing insurers to tailor policies effectively.
• Regulatory Compliance: AI helps ensure that underwriting and claims processing follow legal and industry standards, reducing compliance risks.

Healthcare Sector – AI for Cybersecurity and Compliance

The healthcare industry, rich with sensitive patient data, is a prime target for cyberattacks. AI is being used to:

• Anomaly Detection in Patient Records: AI flags unauthorized access attempts, protecting confidential medical data.
• Regulatory Compliance Automation: AI streamlines GDPR, HIPAA, and other compliance efforts, reducing human error.
• Threat Prediction: AI scans electronic health records for irregular access patterns, mitigating insider threats before they escalate.
• AI-Powered Medical Assistance: AI chatbots support healthcare providers with diagnostics and administrative tasks, enhancing efficiency without compromising security.

Stay Ahead of AI-Driven Cyber Threats

AI is evolving, and so are cyber threats. Organizations must proactively adopt AI-driven security strategies to stay ahead. Collaborating with industry experts and leveraging AI-powered security tools can provide the necessary edge. Join the cybersecurity conversation with 10,000+ CISOs at CISO Platform.

AI in Cybersecurity – Strengths and Weaknesses

Strengths of AI in Cybersecurity:

• Behavior-based threat detection – AI spots unusual activity instead of relying on outdated signature-based methods.
• Automated security response – AI-driven SOAR (Security Orchestration, Automation, and Response) reduces response time significantly.
• Anomaly detection – AI identifies sophisticated attacks that traditional security tools might miss.
• Real-time risk assessment – AI continually monitors cyber threats and adapts security protocols dynamically.

Limitations of AI in Cybersecurity:

• False positives and alert fatigue – AI often generates excessive alerts that still require human intervention, overwhelming security teams.
• Bias and trust issues – If an AI model is trained on flawed or biased data, it can make incorrect security decisions, potentially putting organizations at risk.
• Dependence on data quality – AI requires vast amounts of high-quality data; inadequate datasets lead to flawed predictions and security vulnerabilities.
• Sophisticated AI-powered cyberattacks – While AI strengthens security, attackers also use AI to create self-learning malware, making threat detection more complex.

AI for Defense – Fighting Cyber Threats with AI

Cybersecurity teams are leveraging AI to enhance threat detection and response. Here’s how AI is strengthening cyber defense:

• Threat Intelligence – AI analyzes massive amounts of security data to detect and predict emerging cyber threats before they materialize.
• Automated Malware Detection – AI-powered tools recognize and neutralize new forms of malware, including polymorphic and AI-generated threats.
• Insider Threat Detection – AI monitors user behavior within an organization, flagging any anomalies that might indicate insider threats.
• Adaptive Authentication – AI continuously learns from login behaviors and access patterns, enabling real-time authentication adjustments to prevent unauthorized access.

Ensuring Responsible AI Adoption in Security

With AI’s growing role in cybersecurity, organizations must adopt responsible AI practices to prevent misuse and unintended consequences:

• Ethical AI Guidelines: Establish frameworks to govern AI usage in security, ensuring fairness and transparency.
• Continuous AI Audits: Regularly review AI models for accuracy, security, and bias to prevent unintended risks.
• Human-AI Collaboration: AI should augment human decision-making, not replace it. Cybersecurity teams must retain control over AI-driven security measures.
• AI Governance and Compliance: Organizations should ensure AI solutions adhere to global cybersecurity regulations, preventing potential legal and ethical pitfalls.

The Reality of AI – What’s Hype and What’s Not?

AI is no longer just a buzzword—it’s deeply embedded in cybersecurity, power, insurance, and healthcare. But not all AI solutions deliver on their promises. Many vendors market AI as a one-size-fits-all solution, but effective AI adoption requires careful planning, rigorous testing, and strategic implementation.

How to Evaluate AI Solutions Effectively:

1. Look Beyond the Hype – Understand what AI can and cannot do before investing.
2. Test AI Models Thoroughly – Conduct real-world testing to measure AI’s accuracy and effectiveness before full deployment.
3. Ensure Human Oversight – AI should enhance, not replace, human cybersecurity experts.
4. Assess Compliance and Security Risks – AI should align with industry regulations and data privacy laws.
5. Monitor and Adapt – AI must be continuously updated and improved to stay ahead of evolving threats.

Security leaders who adopt AI responsibly will be better prepared to handle cyber threats, regulatory challenges, and operational risks. AI is the future—but only if we use it wisely.

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CISO Contributors:

- Rajiv Nandwani, Global Information Security Director - Boston Consulting Group India Private Limited (Session Moderator)
- Aamir Hussain Khan, Chief Information Security Officer - Tata Power Company Limited
- Dhiraj Ranka, CISO - TATA AIG General Insurance Limited
- Satyanandan Atyam, Chief Risk Officer (CRO) - Tata AIG General Insurance Company Limited
- Dr. Murty Ch A S, CISO - Centre for Development of Advanced Computing (C-DAC)
- Vineet Kumar Srivastava, Associate Director - Detection Engineering, Threat Detection & Response, Global Cyber Defence - CSO - GSK (GlaxoSmithKline plc)
- Natarajan Dhiraviam, Head of Cyber Security & Engineering, Sky plc

Key Questions Explored:

• What are the biggest challenges faced in the healthcare industry from a cybersecurity perspective?
• How is AI being used in the education sector for cybersecurity?
• How can AI be leveraged from a defense perspective to counter cyber threats?
• Can AI ever replace human cybersecurity experts, or does it only enhance them?
• How does AI contribute to socially engineered attacks, and how can organizations defend against them?
• How can AI help build a compliance model in the healthcare industry?

The Double-Edged Sword of AI in Cybersecurity

Artificial Intelligence is here to stay. It’s changing everything—how we work, how we protect, and how we attack. The same AI that helps defend networks is also being used to tear them down. The stakes? Higher than ever.

AI on the Offense – How Attackers Use AI

Cybercriminals have embraced AI. They use it to move faster, hide better, and hit harder. Here’s how AI is fueling modern attacks:

1. AI-Powered Phishing – More Deceptive Than Ever

Gone are the days of poorly written scam emails. AI-driven phishing attacks are almost indistinguishable from real messages. Attackers use AI to:

• Mimic writing styles and speech patterns.
• Generate deepfake videos and voice impersonations.
• Create hyper-personalized phishing emails based on online data.

2. Autonomous Ransomware – Smarter and More Strategic

Traditional ransomware locks files. AI-powered ransomware thinks before it acts:

• It scans networks for valuable data before encrypting anything.
• It prioritizes high-value targets to maximize damage.
• It learns from each attack to improve efficiency.

3. Weaponizing Large Language Models (LLMs)

Attackers manipulate AI models to spread misinformation and corrupt data:

• Poisoning AI models by feeding them false information.
• Exploiting LLM vulnerabilities to generate harmful outputs.
• Automating hacking attempts using AI-generated scripts.

4. Supply Chain Attacks – Exploiting the Weakest Link

AI helps attackers identify weak vendors and third-party providers. They:

• Analyze public records to spot vulnerable supply chains.
• Use AI to scan for unpatched systems and outdated software.
• Launch automated attacks to infiltrate networks through suppliers.

AI on the Defense – How CISOs Are Fighting Back

If attackers use AI, defenders must use it better. Here’s how AI is shaping cybersecurity defense:

1. AI-Driven Threat Detection – Spotting Attacks Before They Happen

Traditional security tools react. AI anticipates. AI-driven systems:

• Detect unusual patterns in user behavior.
• Identify emerging threats before they escalate.
• Automate responses to contain threats instantly.

2. Zero Trust AI – Never Assume, Always Verify

AI is the backbone of Zero Trust security. It continuously evaluates:

• User identity and behavioral patterns.
• Device health and security posture.
• Network traffic anomalies and hidden threats.

3. Predictive Cybersecurity – Stopping Attacks Before They Start

AI doesn’t just respond—it predicts. Organizations use AI to:

• Analyze past incidents to anticipate new threats.
• Simulate attack scenarios to strengthen defenses.
• Automate compliance enforcement to prevent policy violations.

4. Automating Security Operations – Speed and Efficiency

Cybersecurity professionals must stay ahead of evolving threats. Engaging with experts and learning from industry discussions can make a huge difference. Stay connected with the latest cybersecurity insights at CISO Platform (Invite Only Platform for CISOs).

CISOs deal with complex security stacks. AI helps simplify:

• Security Orchestration, Automation, and Response (SOAR) for real-time threat mitigation.
• AI-powered SIEM solutions for intelligent log analysis.
• Automated compliance monitoring to reduce manual efforts.

AI in Healthcare Security – A High-Stakes Battlefield

The healthcare sector is a prime target for AI-driven cyberattacks. Large datasets, sensitive patient records, and life-critical systems make it vulnerable.

Key AI Security Challenges in Healthcare:

• Data Privacy Risks: AI models require vast amounts of data, increasing exposure risks.
• Regulatory Compliance: HIPAA, GDPR, and other standards demand strict AI governance.
• AI Model Manipulation: Attackers can corrupt AI-driven medical analysis models.
• Trust Issues: Convincing medical professionals to trust AI decisions is a challenge.

Solution? Many healthcare organizations are adopting federated learning, allowing AI to train locally on sensitive data without exposing it to external systems.

The Human Factor – Can AI Replace Security Experts?

Short answer: No.

Long answer: AI is a tool, not a replacement. AI enhances human expertise by:

• Handling repetitive security tasks so humans can focus on strategy.
• Providing real-time threat intelligence for better decision-making.
• Assisting in forensic investigations by analyzing vast amounts of data quickly.

Cybersecurity still needs human intuition, creativity, and ethical judgment. AI and human intelligence together create a stronger defense.

AI isn’t just a defensive tool—it’s shaping the future of security itself. Forward-thinking organizations are:

• Investing in AI-powered SOC (Security Operations Centers).
• Developing ethical AI frameworks for cybersecurity.
• Using AI to reduce complexity and consolidate security tools.

Security leaders who embrace AI will be better equipped to handle the evolving threat landscape. AI is the future—but only if we use it wisely.

The battle between AI for offense and AI for defense is only intensifying. Attackers innovate. Defenders adapt. The only way to stay ahead is by leveraging AI better than the bad actors do. Forward-thinking organizations are investing in AI-powered SOC (Security Operations Centers), developing ethical AI frameworks, and using AI to reduce complexity and consolidate security tools. Leverage AI better than the bad actors do.

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CISO Contributors:
- Gowdhaman Jothilingam, Global CISO & Head of IT - Latent View Analytics Ltd. (Session Moderator)
- Srinivasulu Thayam, CTO - Aravind Eye Hospital
- Ram Kumar Dilli, Associate VP and Head of IT - SRM Technologies Limited
- Nantha Ram Ramalingam, Global Head of Cybersecurity - Dyson Technology India Pvt. Ltd.

Key Questions Explored:

• What are the top security goals that CISOs need to focus on in 2025?
• What is the buzz around Agentic AI, and how does it impact cybersecurity?
• AI is both the present and the future—how does that translate into implementing the right tools in cybersecurity?
• How can organizations anticipate the unknown aspects of cybersecurity risk?
• What challenges do CISOs face with supply chain attacks?
• What are the current operational challenges in cybersecurity?
• How do CISOs explain firewall security to management and align technical risks with business objectives?
• With CISOs managing complex security architectures with multiple tools, is there a need to simplify and consolidate security platforms?

The Year Ahead: What’s on a CISO’s Mind?

Cyber threats never take a day off. Attackers evolve. Risks multiply. Regulations tighten. A CISO’s job in 2025 isn’t just about preventing breaches—it’s about staying one step ahead, always. Here’s what’s on every security leader’s list this year.

1. Strengthening Zero Trust – Because Trust is a Weakness

Gone are the days of assuming anything inside a network is safe. In 2025, Zero Trust isn’t just a strategy—it’s survival. Every device, every user, every connection is verified. No exceptions.

Key Steps to Implement:

• Enforce Least Privilege: Users get access only to what they need, when they need it.
• Continuous Authentication: Never trust. Always verify—every login, every request.
• Microsegmentation: Limit the damage. If an intruder breaks in, keep them locked in a small room, not a mansion.

2. Fighting AI-Powered Attacks with AI-Powered Defense

Hackers love AI. It makes phishing, deepfakes, and automated attacks easier than ever. But CISOs are flipping the script, using AI for threat detection, predictive analytics, and faster response.

How AI Strengthens Security:

• Behavioral Analytics: Detects unusual patterns before they become breaches.
• Automated Threat Response: AI isolates and contains threats in real time.
• Deepfake Detection: Identifies manipulated voices, videos, and emails.

3. Navigating the Compliance Tsunami

Regulations are multiplying. From GDPR updates to new SEC rules, compliance is no longer a checkbox—it’s a continuous process.

Must-Have Compliance Strategies:

• Automated Compliance Tools: Reduce manual work, ensure accuracy.
• Regular Audits & Risk Assessments: Stay ahead of regulatory changes.
• Cross-Department Collaboration: Legal, IT, and security must work together.

4. Securing the Supply Chain – The Weakest Link Problem

Your security is only as strong as your third-party vendors. In 2025, supply chain attacks are rising, and CISOs are tightening controls.

How to Strengthen Supply Chain Security:

• Vendor Risk Assessments: Know who you’re doing business with.
• Strict Access Controls: Limit vendor access to critical systems.
• Continuous Monitoring: Detect risks before they become breaches.

5. Cloud Security – Locking Down the Everywhere Workplace

Cloud adoption has skyrocketed, but so have misconfigurations and breaches. Securing cloud environments is a top priority.

Best Practices for Cloud Security:

• Cloud-Native Security Tools: Use security solutions built for the cloud.
• Identity & Access Management (IAM): Control who gets in and what they can do.
• Data Encryption: Protect sensitive information, in transit and at rest.

>> Stay Ahead of Cyber Threats in 2025: Join CISO Platform

Security leaders don’t wait for attacks—they prepare for them. Stay informed, collaborate with industry experts, and refine your strategy. Join the cybersecurity conversation at CISO Platform (Invite Only Platform for CISOs).

6. Incident Response – Faster, Smarter, More Automated

The faster you detect and respond to a breach, the less damage it causes. CISOs are investing in automation to speed up response times.

Key Enhancements for 2025:

• SOAR (Security Orchestration, Automation, and Response): Reduces response time from hours to minutes.
• Tabletop Exercises: Simulated attacks to improve response readiness.
• Threat Intelligence Integration: Real-time data to detect threats before they strike.

7. Cyber Resilience – Preparing for the Inevitable

No system is 100% breach-proof. Cyber resilience ensures businesses can bounce back fast.

Building Resilience:

• Incident Recovery Plans: Well-documented, tested strategies for handling attacks.
• Cyber Insurance: A financial safety net for breach-related costs.
• Employee Awareness Programs: Human error is the biggest risk—reduce it.

8. Simplifying Security Architecture – Less is More

Many CISOs are dealing with a patchwork of security tools, each serving a different function. This complexity leads to inefficiencies, increased costs, and gaps in visibility. The focus for 2025? Consolidation and simplification.

How to Simplify Security Operations:

• Vendor Consolidation: Reduce the number of overlapping tools.
• Unified Security Platforms: Invest in tools that integrate seamlessly.
• Risk-Based Approach: Prioritize security investments based on actual business risk.

9. Bridging the Gap Between Security and Business Leadership

Security professionals often struggle to communicate risks in a way that executives understand. Explaining a firewall to the board shouldn’t feel like decoding quantum physics.

Key Steps to Improve Communication:

• Use Business Language: Explain risks in terms of financial and operational impact.
• Quantify Risk Exposure: Use data to justify security investments.
• Executive Training: Help leadership understand the basics of cybersecurity.

Cybersecurity in 2025 is no longer about “if” you’ll be attacked—it’s about “when” and how well you can respond. Whether it’s AI-powered threats, nation-state attackers, or rising ransomware risks, organizations must evolve their defenses.

The best strategy? Stay informed. Stay proactive. Stay secure.

Join 10,000+ CISOs on CISO Platform

CISO Contributors:

- Manoj Kuruvanthody, CISO & DPO - Tredence Inc. (Session Moderator)
- Dr. Ram Kumar G, Cyber Security & Risk Leader- Global Automotive Company
- Dinesh Babu K V, Assistant Vice President Information Security - Equitas Small Finance Bank Limited

Key Questions Explored:

• How real do you think the discussion about AI-powered cyber attacks is?
• How much of it is hyped and how much is real?
• How are regulatory changes affecting the cybersecurity environment?
• How should the introduction of AI in the cybersecurity domain be regulated?
• How is the cybersecurity landscape changing with the introduction of AI?
• What value does Manage Engine bring to the table in terms of AI?
• How are changes in geopolitics affecting cyber attacks by nation-state actors?

The Cyber Battlefield is Changing – Are You Ready?

Cyber threats are evolving faster than ever. Attackers are leveraging new-age tools, strategies, and automation to exploit vulnerabilities in ways we never imagined. In 2025, cybersecurity isn't just about defense—it’s about adaptation.

1. AI-Powered Cyber Attacks – Smarter, Faster, More Deceptive

Hackers love AI just as much as defenders do. In fact, they might be using it better. AI-driven cyber attacks are automating reconnaissance, personalizing phishing attacks, and even launching sophisticated exploits with near-zero human involvement.

Real-World Example:

Imagine receiving a phone call from your CEO asking for urgent access to sensitive data. Except, it’s not your CEO—it’s an AI-powered voice clone. That’s the terrifying reality of deepfake social engineering. Attackers are using AI to impersonate voices, mimic writing styles, and craft hyper-realistic phishing emails.

What Can Organizations Do?

• Train employees on AI-driven phishing tactics
• Deploy AI-based threat detection tools
• Use multi-factor authentication (MFA) with biometric verification

2. Ransomware-as-a-Service (RaaS) – Crime-as-a-Business Model

Think of it as "cybercrime on subscription." Attackers no longer need deep technical skills; they can simply buy ransomware kits on the dark web. This has led to an explosion in ransomware attacks, targeting businesses of all sizes.

The Shift:

Previously, ransomware attacks were isolated incidents. Now, they operate like structured businesses—with customer support, pricing models, and negotiation strategies.

Defensive Measures:

• Frequent backups with offline storage
• Endpoint Detection & Response (EDR) solutions
• Zero Trust security frameworks

3. The Rise of Nation-State Cyber Threats

Cyber warfare is no longer science fiction. Governments are increasingly using cyber attacks as a strategic weapon. Nation-state hackers are infiltrating infrastructure, stealing intellectual property, and launching attacks to disrupt economies.

Key Targets:

• Critical infrastructure (power grids, healthcare, transportation)
• Government agencies
• Financial institutions

How to Defend Against It:

• Invest in proactive threat intelligence
• Partner with government-led cybersecurity initiatives
• Improve security of Operational Technology (OT) networks

>> Stay Ahead of Emerging Cyber Threats: Join CISO Platform

The best way to tackle evolving cyber threats is through collaboration and continuous learning. Join the cybersecurity conversation and stay updated on the latest security trends at CISO Platform (Invite Only Platform for CISOs).

4. Regulatory Tsunami – Compliance is No Longer Optional

Regulators are tightening their grip on cybersecurity. From GDPR to India's CERT-In directives to the SEC’s cybersecurity disclosure rules, businesses now face stricter compliance requirements.

Upcoming Regulations to Watch:

• Stricter reporting mandates for breaches
• AI & cybersecurity governance frameworks
• Enhanced consumer data protection laws

How to Stay Ahead:

• Conduct regular compliance audits
• Automate governance, risk, and compliance (GRC) efforts
• Work closely with legal teams to track regulatory changes

5. AI for AI – Defenders Fight Fire with Fire

If hackers are using AI, defenders must use it better. Organizations are now leveraging AI-powered cybersecurity tools to predict, detect, and neutralize threats before they strike.

AI in Cybersecurity Applications:

• Behavioral analytics: Detecting anomalies in user activity
• Automated threat response: AI-driven incident response platforms
• Threat intelligence augmentation: Using AI to analyze attack patterns

How to Implement AI in Your Security Stack:

• Integrate AI-based SIEM (Security Information & Event Management)
• Use AI for user behavior analytics (UBA)
• Automate security operations with AI-driven SOAR (Security Orchestration, Automation, and Response)

6. Advanced Analytics & Threat Detection

The days of signature-based detection are over. Cybersecurity tools now rely on advanced analytics to detect unknown threats.

What’s Changing?

• UEBA (User & Entity Behavior Analytics): Identifies unusual behavior in users and devices.
• Threat hunting: AI-assisted detection of subtle attack indicators
• Automated event correlation: Reducing false positives and improving analyst efficiency

Best Practices:

• Implement real-time security analytics
• Conduct proactive threat hunting exercises
• Leverage MITRE ATT&CK framework for threat modeling

7. Cyber Resilience – Security Beyond Prevention

Organizations are shifting from “incident prevention” to “incident resilience.” Cyber resilience ensures businesses can quickly recover from attacks with minimal disruption.

Key Resilience Strategies:

• Incident response plans: Regularly tested & updated playbooks
• Cyber insurance: Mitigating financial risks from breaches
• Automated recovery mechanisms: Ensuring business continuity

Cybersecurity in 2025 is no longer about “if” you’ll be attacked—it’s about “when” and how well you can respond. Whether it’s AI-powered threats, nation-state attackers, or rising ransomware risks, organizations must evolve their defenses.

The best strategy? Stay informed. Stay proactive. Stay secure.

Join 10,000+ CISOs on CISO Platform.

CISO Contributors:

- Arnab Chattopadhyay, Co-Founder & CTO - FireCompass (Session Moderator)
- Rajeevan Kallumpuram, Vice President, Cyber Security - National Stock Exchange of India Ltd
- Vijay Kumar Verma, SVP & Head Cyber Security Engineering - Jio Platforms Limited
- Sandeep Khanna, Director - Unique Identification Authority of India (UIDAI)
- Harshit Lohani, Sr. Sales Engineer (APMEA) & Principal MDR Consultant - Securonix
- Vishak Raman, Vice President for Sales in India, SAARC and Southeast Asia - Fortinet
- Vivian Satyam, Senior Sales Engineer - Manage Engine

We had a community session on "Practical AI In Cybersecurity" featuring Anton Chuvakin (Security Advisor, Google Cloud) & David Randleman (Field CISO, FireCompass).

In today's rapidly advancing digital world, AI is transforming the way we approach cybersecurity. This session explores the practical applications of AI in enhancing security measures, detecting threats, and automating responses. Attendees will gain valuable insights into how AI can be leveraged to strengthen their cybersecurity posture, reduce response times, and improve threat intelligence. Join us to discover actionable strategies and real-world use cases that showcase the potential of AI in protecting organizations against evolving cyber threats.

Key Discussion Points:

• Strategies for securing AI systems and mitigating adversarial attacks.
• Implementing AI to improve security measures and automate responses.
• Types of AI technologies used by hackers to enhance their attack methods.
• Practical applications of AI by Google security practitioners for daily tasks.

About Speaker

• Anton Chuvakin (Security Advisor at Google Cloud).
• David Randleman (Field CISO at FireCompass).

Executive Summary (Session Highlights)

Practical AI in Cybersecurity: Challenges, Governance, and Use Cases

The session featured Anton Chuvakin, Security Solution Strategist at Google Cloud, discussing the evolving landscape of AI in cybersecurity. Hosted by David Randleman, the conversation explored AI governance, security applications, and the shared responsibility of cloud providers in securing customers.

AI and the Shared Responsibility Model

Anton emphasized that cloud security is a shared responsibility between providers and customers. However, Google Cloud follows a "shared fate" model, where they actively assist customers in securing their cloud environments rather than simply providing the infrastructure.

The Rise of AI Governance and Shadow AI

One of the key challenges organizations face is AI governance—how to manage, monitor, and secure AI use within enterprises. Anton introduced the concept of Shadow AI, where employees use AI tools (like ChatGPT or Gemini) for work without official approval. The discussion highlighted:

• The need for AI governance policies to regulate unauthorized AI usage.
• How businesses should integrate AI oversight into their cybersecurity frameworks.
• The importance of balancing security with AI-driven efficiency.

AI’s Role in Cybersecurity Operations

Anton identified four key areas where AI impacts security:

1. Infrastructure security (Cloud security best practices).
2. Application security (Securing AI-powered applications against vulnerabilities).
3. Data security (Managing sensitive data within AI environments).
4. Model security (Protecting AI models from manipulation or adversarial attacks).

AI is particularly effective in automating repetitive security tasks, such as:

• Reverse engineering malware (Gemini has shown strong capabilities in this area).
• Summarizing security incident reports to enhance efficiency.
• Generating tabletop exercises for security teams.
• Providing remediation suggestions, though these still require human validation.

The Untrusted Advisor Concept

Anton introduced the idea of AI as an "untrusted advisor", where AI can generate insights but must be verified by human experts. AI is useful for brainstorming and optimizing workflows but cannot be blindly trusted for high-stakes security decisions.

The Future of AI in Cybersecurity

Looking ahead, AI will likely transform penetration testing and red teaming, especially for compliance-based security assessments. AI-powered attack simulations and automation will improve efficiency but will still require human oversight.

Anton also highlighted the challenge of AI securing AI, warning that using AI-driven security tools to defend AI systems could introduce shared vulnerabilities. AI is a powerful tool, but it cannot be the sole security control.

Conclusion: Embracing AI While Managing Risks

• AI governance is critical to ensure security without stifling innovation.
• Businesses must integrate AI into security strategies while maintaining human oversight.
• AI will enhance efficiency in cybersecurity operations, but it will not replace security professionals—instead, it will augment their capabilities.

The session provided practical insights into navigating AI adoption, balancing security with innovation, and preparing for the next wave of AI-driven cybersecurity challenges.

We are hosting an exclusive Best Of The World Talks on "Practical AI In Cybersecurity" featuring Anton Chuvakin (Security Advisor, Google Cloud) & David Randleman (Field CISO, FireCompass).

In today's rapidly advancing digital world, AI is transforming the way we approach cybersecurity. This session explores the practical applications of AI in enhancing security measures, detecting threats, and automating responses. Attendees will gain valuable insights into how AI can be leveraged to strengthen their cybersecurity posture, reduce response times, and improve threat intelligence. Join us to discover actionable strategies and real-world use cases that showcase the potential of AI in protecting organizations against evolving cyber threats.

Key Discussion Points:

- Strategies for securing AI systems and mitigating adversarial attacks.

- Implementing AI to improve security measures and automate responses.

- Types of AI technologies used by hackers to enhance their attack methods.

- Practical applications of AI by Google security practitioners for daily tasks.

Session Details:

Date: 23rd Jan, 2025 (Thursday)

Time: 12:00 PM EST | 9:00 AM PST | 10:30 PM IST

Join us live or register to receive the session recording if the timing doesn’t suit your timezone.

>> Register here

Cybersecurity has become a cornerstone of operational success and resilience in the increasingly interconnected business world. The challenge is even more pressing for small and medium-sized businesses (SMBs). Cyber threats continue to grow in sophistication, and without the extensive resources of larger corporations, SMBs often find themselves vulnerable. Partnering with a cybersecurity consulting firm is not just a strategic decision—it’s a necessity. These partnerships provide SMBs with access to expertise, cutting-edge solutions, and a proactive approach to safeguarding digital assets. This blog delves into the critical aspects of selecting the right consulting partner, offering guidance on evaluating, integrating, and optimizing this vital relationship.

Why Cybersecurity Consulting Matters for SMBs

Cybercriminals are increasingly targeting SMBs, as they often lack the robust defenses of larger organizations. According to industry reports, nearly half of all cyberattacks are aimed at small businesses, with many resulting in devastating financial and reputational damage. Cybersecurity consulting firms bridge the gap by offering tailored solutions that align with the unique needs of SMBs. These firms provide specialized expertise, helping businesses identify vulnerabilities, mitigate risks, and ensure compliance with industry regulations.

A skilled consulting firm addresses immediate threats and builds a foundation for long-term resilience. With the right partner, SMBs can focus on growth and innovation, confident that their cybersecurity needs are in expert hands.


Cybersecurity consulting firms undertake a variety of critical tasks that add significant value to an organization:

1. Risk Assessments and Audits: By evaluating existing vulnerabilities and potential threats, consultants can identify weak points in a company’s digital infrastructure. This ensures that resources are allocated effectively to mitigate high-risk areas focused on preventing breaches by addressing vulnerabilities before they are exploited, saving organizations from financial losses and reputational damage.

2. Incident Response Planning: Preparing for potential breaches is as critical as preventing them. Consultants develop detailed plans to ensure quick and effective responses to incidents, minimizing downtime and recovery costs focused on enabling rapid recovery, reducing operational disruptions, and protecting customer trust.

3. Compliance Management: Compliance with standards such as GDPR, HIPAA, or PCI DSS is essential for businesses in regulated industries. Consulting firms guide SMBs through these requirements, ensuring both compliance and security focused on Avoiding hefty fines and legal repercussions while building trust with stakeholders.

4. Employee Training: Many breaches stem from human error. Consultants provide training to improve awareness and establish secure practices across the organization. The training is focused on creating a proactive security culture, reducing the likelihood of breaches due to phishing or poor password hygiene.

Current Environmental Challenges and Overcoming Them

Challenge 1: Limited Budgets
SMBs often operate with restricted financial resources, making it difficult to justify investing in extensive cybersecurity measures. As a result, many underestimate their exposure to cyber risks.

Cybersecurity consulting firms offer scalable solutions tailored to SMB budgets. By prioritizing risk and leveraging existing infrastructure, consultants ensure maximum security impact with minimal investment.

Challenge 2: Rapidly Evolving Threat Landscape
New threats emerge constantly, from ransomware attacks to supply chain vulnerabilities. SMBs may need more expertise to stay ahead of these changes.

Consultants provide continuous monitoring and threat intelligence, ensuring businesses remain informed and prepared for emerging risks. Regular updates and proactive measures keep defenses aligned with the latest threat vectors.

Challenge 3: Cloud Adoption and Hybrid Work Environments
The shift to cloud-based services and remote work has expanded the attack surface for SMBs, creating new challenges in managing access and securing data.

Consulting firms help businesses mitigate these risks by implementing secure cloud configurations, identity and access management (IAM) solutions, and zero-trust architectures.

Potential Future Solutions to Optimize Cybersecurity

As technology continues to evolve, SMBs can optimize their cybersecurity strategies by incorporating the following advancements:

1. AI and Machine Learning: Advanced AI-powered analytics can enhance threat detection, providing real-time insights and automating responses to minimize damage during attacks.

2. Zero-Trust Architectures: By adopting a “never trust, always verify” approach, SMBs can significantly reduce their exposure to internal and external threats.

3. Cybersecurity as a Service (CaaS): Subscription-based models allow SMBs to access enterprise-grade solutions without the overhead of maintaining an in-house team.

4. Integration with Emerging Technologies: As IoT devices and hybrid cloud environments become integral to SMB operations, consultants can provide expertise in securing these assets.

Summary

Choosing the right cybersecurity consulting firm is pivotal for SMBs aiming to protect their assets and drive growth. Here’s how to get started:

1. Evaluate Your Needs: Identify your organization’s cybersecurity challenges, such as compliance requirements or cloud security.
2. Shortlist Consulting Firms: Research firms that align with your needs, emphasizing their expertise, reputation, and scalability.
3. Conduct Interviews: During detailed consultations, discuss your goals and assess the firm’s understanding of your business.
4. Focus on Long-Term Partnerships: Select a firm that offers ongoing support and adapts its services as your business grows.
5. Invest in Training and Culture: Work with your consultant to build a proactive security culture within your organization.

These steps allow SMBs to confidently navigate the complex cybersecurity landscape and establish a robust defense against evolving threats.

By: Christophe Foulon, (vCISO at Quisitive)

Original link of post is here

Small and medium-sized businesses face unprecedented cybersecurity challenges in today's rapidly evolving threat landscape, which can significantly impact their operations and growth potential. As cyber threats become more sophisticated, many SMBs find themselves at a crossroads between maintaining adequate security measures and managing limited resources effectively.

Understanding the Value Proposition

Cybersecurity outsourcing represents a strategic solution that enables SMBs to access enterprise-grade security capabilities without the burden of building and maintaining an in-house security team. This approach allows businesses to leverage specialized expertise while focusing on their core operations and growth objectives.

Key Operational Benefits
Modern managed security providers deliver comprehensive protection through 24/7 monitoring, advanced threat detection, and rapid incident response capabilities. These services are particularly valuable for SMBs needing more infrastructure to maintain round-the-clock security operations internally.

Cost-effectiveness and Resource Optimization

The financial advantages of outsourcing cybersecurity are compelling for SMBs. Rather than investing heavily in infrastructure, training, and staffing, businesses can access a full suite of security services through a predictable subscription model. This approach transforms cybersecurity from a capital expense into a manageable operational cost.

Environmental Challenges and Solutions

Current Landscape Challenges
SMBs often need more budgets, lack of technical expertise, and the complexity of maintaining comprehensive security programs. The rapidly evolving threat landscape compounds these challenges, making it difficult for internal teams to stay current with emerging threats.

Overcoming Obstacles
Managed security providers help overcome these challenges by providing access to cutting-edge technologies and specialized expertise. Through outsourcing, SMBs can implement robust security measures while maintaining operational efficiency and focusing on strategic initiatives.

Future Optimization Strategies

The future of cybersecurity outsourcing holds promising developments for SMBs. As security technologies evolve, managed service providers will likely offer even more sophisticated protection mechanisms. Integrating artificial intelligence and machine learning capabilities will enhance threat detection and response capabilities, while automated security processes will improve operational efficiency.

Actionable Summary

To effectively implement cybersecurity outsourcing, SMBs should:

1. Conduct thorough assessments of potential security providers, evaluating their expertise, track record, and service offerings
2. Establish clear security objectives and performance metrics to measure the effectiveness of outsourced services
3. Maintain regular communication and oversight of security operations to ensure alignment with business goals

If you want more information about cybersecurity outsourcing and managed security services, visit cpf-coaching.com or contact our team to discuss your specific security needs.

Remember: Effective cybersecurity is not just about protection—it's about enabling your business to thrive in an increasingly digital world while maintaining resilience against evolving threats.

By: Christophe Foulon, (vCISO at Quisitive)

Original link of post is here

We are hosting an exclusive Fireside Chat on "Top Trends In Cybersecurity 2025 & Beyond" featuring Ravi Subbiah (CISO Consulting & Cybersecurity Delivery Leader at TCS) & Vijay Kumar Verma (SVP & Head Cybersecurity Engineering at Jio Platforms Ltd.).

As the digital landscape continues to evolve, new trends and technologies are shaping the future of cybersecurity. This session delves into the top cybersecurity trends expected to dominate 2025 and beyond, including advancements in AI, the rise of quantum computing, and the growing importance of zero-trust architecture. Attendees will gain insights into how these trends impact security strategies and the steps organizations can take to stay ahead in a rapidly changing environment.

Key Discussion Points:

- How can organizations effectively integrate AI and ML into their existing cybersecurity infrastructure to improve defensive operations?

- How has the zero trust architecture evolved in recent years, and what are the key components organizations should focus on for the future?

- How do you see privacy regulations evolving to address the challenges of emerging technologies like AI and IoT in the coming years?

Session Details:

Date: 15th Jan, 2025 (Wednesday)

Time: 12:00 PM IST

Join us live or register to receive the session recording if the timing doesn’t suit your timezone.

>> Register here

Table of Contents

• Introduction to Consent in DPDPA
• Key Terms Related to Consent
• Rights of Individuals Regarding Consent
• Obligations of Data Fiduciaries Concerning Consent
• Role of the Data Protection Board in Consent Issues
• Role of the Consent manager under the DPDPA
• Latest Amendments, Notifications, and Guidelines on Consent
• Comparison with Other Indian Laws (Indian Contract Act, 1872)
• Landmark Case Laws on Consent in India
• Real-World Examples Illustrating Consent
• Conclusion
• Additional Resources

1. Introduction to Consent in DPDPA

Consent is the foundational principle that governs how personal data is collected, processed, and utilized. Under the DPDPA, consent ensures that individuals have control over their personal information, empowering them to make informed decisions about who accesses their data and for what purposes. When it comes to personal data, consent is the golden ticket—it’s what separates ethical data practices from intrusive overreach. Think of it like a gatekeeper for your personal information. Without it, anyone could waltz in, rifle through your details, and use them however they please. Under the Digital Personal Data Protection Act (DPDPA), consent is more than just a checkbox on a form; it’s a fundamental principle that puts you, the individual, in the driver’s seat. Let’s break it down. Consent, in this context, means you have the final say over how your personal data is collected, processed, and used. It’s not just about saying “yes” or “no”—it’s about ensuring you’re fully informed, in control, and protected. This is a game-changer in a world where data has become the new currency.

Why Consent Matters: The Three Pillars

Consent isn’t just a buzzword; it’s the backbone of ethical data handling. Let’s explore why it matters so much under the DPDPA.

1) Empowerment: Grants individuals autonomy over their personal information. Imagine you’re handing someone the keys to your house. Would you do it without knowing why they need access, how long they’ll stay, or what they plan to do inside? Of course not. The same logic applies to your personal data. Consent empowers you by giving you autonomy over who gets to use your information and for what purpose. The DPDPA recognizes that your data is yours—plain and simple. With clear, upfront consent requirements, it ensures you have the power to decide whether a company can collect your browsing history, your shopping habits, or even sensitive details like your health records. This shift flips the script, making you the decision-maker rather than a passive participant in the data ecosystem.

2) Transparency: Promotes clear communication between data fiduciaries and data principals. Ever felt like you signed up for a service but had no idea what you were really agreeing to? You’re not alone. In the past, terms and conditions often resembled a never-ending maze of legal jargon—designed more to confuse than clarify. The DPDPA changes that by prioritizing transparency. Here’s how it works: when a company seeks your consent, it must clearly explain what data it’s collecting, why it’s doing so, how it will be used, and who it might share it with. No fine print, no surprises. This level of transparency fosters trust, making you feel more confident about sharing your information. It’s like walking into a restaurant where the chef explains every ingredient on the menu—you know exactly what you’re getting.

3) Accountability: Holds organizations accountable for responsible data handling. Consent isn’t just about empowering individuals—it’s also about holding organizations accountable. Think of it as a safety net. When a company mishandles your data or uses it for purposes beyond what you agreed to, the DPDPA ensures they can’t just shrug it off. Data fiduciaries (the entities handling your data) are required to stick to the conditions of your consent. If they deviate or act irresponsibly, they face penalties. This isn’t just about protecting individuals; it’s about setting a gold standard for responsible data management. Accountability keeps everyone honest, creating a culture where organizations take data privacy seriously.

2. Key Terms Related to Consent

Understanding consent within the DPDPA framework requires familiarity with several key terms:

Understanding consent under the Digital Personal Data Protection Act (DPDPA) isn’t just about knowing your rights—it’s about speaking the same language as the law. To make sense of how consent functions within this framework, it’s essential to familiarize yourself with a few key terms. Think of these as the building blocks of a secure and ethical data ecosystem. Once you know these terms, navigating the DPDPA becomes as straightforward as following a well-marked map.

1) Data Principal: The individual to whom the personal data pertains.the STAR of the Show At the heart of the DPDPA is the data principal—that’s you. Simply put, the data principal is the individual to whom the personal data pertains. If your email, phone number, or health records are being collected, you’re the data principal. Think of yourself as the owner of a treasure chest, and your personal data is the treasure. The DPDPA emphasizes that as the data principal, you have ultimate authority over how your treasure is handled. It’s like being the captain of a ship—you decide who gets to come aboard, what they can do while they’re there, and when they need to leave.

2) Data Fiduciary: An entity (individual or organization) that determines the purpose and means of processing personal data.The Trusted Guardian Now, let’s talk about the data fiduciary. This is the entity—whether it’s a company, an organization, or an individual—that determines the purpose and means of processing your personal data. If you’re the captain, they’re like the crew you’ve hired to handle your ship. But here’s the catch: they’re legally bound to act in your best interest. The word “fiduciary” implies trust, and under the DPDPA, this trust is non-negotiable. Data fiduciaries are expected to handle your information responsibly, transparently, and only for the purposes you’ve agreed to. If they overstep, misuse your data, or fail to protect it, they can face serious consequences. In a way, they’re like stewards of a valuable museum artifact—you own it, but they’re responsible for keeping it safe.

3) Explicit Consent: A clear and specific agreement by the data principal for the processing of their sensitive personal data.The Gold Standard When it comes to sensitive personal data, the DPDPA insists on explicit consent—and for good reason. Explicit consent means you’re fully aware of what’s being collected, why it’s being collected, and how it will be used. You’ve given your permission in a clear, unambiguous way. It’s like signing a contract where every clause is explained in plain language. For example, if a healthcare app wants to access your medical records, it can’t just bury that request in a lengthy terms-and-conditions document. Instead, it must explicitly ask for your consent, detailing how your data will be stored, processed, and shared. This level of clarity is crucial for ensuring trust and fairness.

4) Implicit Consent: Assumed consent based on the context of data collection, typically not suitable for sensitive data.The Gray Area Unlike explicit consent, implicit consent is more contextual. It’s assumed based on your actions, but it’s generally not suitable for sensitive personal data. For instance, if you hand your email address to a retailer to receive a receipt, it’s reasonable to assume they have your implicit consent to send you that receipt. However, they can’t assume they have the right to add you to their marketing list without asking explicitly. Think of implicit consent as a handshake—an agreement based on mutual understanding. While it works in certain everyday situations, it’s not robust enough for more serious or sensitive data-sharing scenarios. For anything beyond the basics, the DPDPA leans heavily on explicit consent as the preferred standard.

5) Revocable Consent: The ability of the data principal to withdraw consent at any time.Taking Back Control Here’s where things get really interesting. Under the DPDPA, consent isn’t a one-time deal—it’s revocable. That means you can withdraw your consent at any time, no questions asked. If you decide that you no longer want a company to hold onto your data, you can simply revoke your permission, and they’re obligated to comply. Imagine you’ve rented out your spare room to a tenant. You gave them the keys and agreed on a set of rules, but later, you realize you’re no longer comfortable with the arrangement. Revocable consent is like saying, “Thanks, but I need those keys back now.” The tenant (or in this case, the data fiduciary) has no choice but to res pect your decision.

Why These Terms Matter 

These terms aren’t just legal jargon—they represent the foundation of a more ethical and transparent approach to data handling. They ensure that:

• You stay in control of your personal data at all times.

• Organizations act responsibly and are held accountable.

• Consent is dynamic, giving you the flexibility to adapt as your comfort level changes.

By defining roles like data principal and fiduciary and setting standards for explicit, implicit, and revocable consent, the DPDPA creates a framework that prioritizes clarity, fairness, and empowerment.

A Practical Example: Bringing It All Together

Let’s say you’re using a fitness app. As the data principal, you own the rights to your workout logs and health data. The app acts as the data fiduciary, collecting and analyzing your information to provide personalized recommendations.

• When you sign up, the app seeks explicit consent to access your health metrics. It explains how the data will be used to improve your experience.

• By using the app to track a workout, you provide implicit consent for the app to record that session.

• Six months later, you decide you no longer want the app to retain your data. Thanks to revocable consent, you can request deletion of your records, and the app must comply promptly.

This seamless interplay between these concepts ensures that your data journey is secure, transparent, and entirely under your control.

3. Rights of Individuals Regarding Consent

The DPDPA enshrines several rights for individuals to manage their consent effectively:

In a world where data is currency, knowing your rights is like holding the keys to your digital kingdom. The Digital Personal Data Protection Act (DPDPA) takes this responsibility seriously, placing the control firmly in your hands. Gone are the days of blindly signing off on vague terms and conditions. With the DPDPA, individuals are equipped with a robust set of rights to manage their consent effectively and ensure their data is handled with the respect it deserves. Let’s break down these rights, each of which is designed to give you more power, transparency, and peace of mind in the increasingly complex digital landscape.

1) Right to Informed Consent: Individuals must be fully informed about how their data will be used before providing consent.Knowledge Is Power

Imagine agreeing to a deal without knowing the terms. Sounds reckless, right? The DPDPA ensures this doesn’t happen with your data. The Right to Informed Consent means you have the right to know exactly how your personal data will be used before you agree to share it. When a company seeks your consent, it’s not enough for them to say, “We’ll use your data.” They must explain what data they’re collecting, why they’re collecting it, how it will be used, and who it might be shared with. This is like reading a clear, easy-to-understand menu before placing your order, rather than being surprised by a dish you didn’t expect. This right empowers you to make informed decisions, giving you the confidence to either give your consent or say, “Thanks, but no thanks.”

2) Right to Specific Consent: Consent must be obtained for specific purposes and not be blanket approval for all data processing activities.

Have you ever signed up for a service and felt like you gave them the keys to your entire life? That’s exactly what the Right to Specific Consent aims to prevent. Under the DPDPA, companies must obtain your consent for a specific purpose. They can’t ask for blanket approval to process all your data for any reason they choose. For example, if you’re signing up for a food delivery app, they can ask for your location to find nearby restaurants, but they can’t use that consent to track your movements 24/7 or sell your data to advertisers. It’s like granting someone access to your garden to water the plants—not to throw a party or start digging up your lawn. Specific consent ensures your data is used for the purpose you agreed to and nothing more.

3) Right to Withdraw Consent: Individuals can revoke their consent at any time, and data fiduciaries must cease processing personal data upon withdrawal.

What if you change your mind about sharing your data? No problem. The Right to Withdraw Consent gives you the power to revoke your permission at any time. This isn’t just a symbolic right—it’s actionable. When you withdraw your consent, the data fiduciary (the entity handling your data) must stop processing your information immediately. If they’ve shared it with third parties, they’re obligated to inform those parties to cease using your data as well. Think of this as taking back the keys you lent someone. Whether you trusted them initially but later had second thoughts, or simply decided it’s no longer necessary, you have every right to pull the plug. It’s your data, your call.

4) Right to Access and Control: Individuals can access their data and understand how it is being used, ensuring transparency.

How often have you wondered, “What are they doing with my data?” The Right to Access and Control gives you the answer. Under this right, you can access the personal data a company has about you and understand how it’s being used. Are they storing your email address securely? Are they sharing it with third parties? This level of transparency is crucial for building trust and ensuring accountability. Moreover, if you notice something that feels off—like outdated or inaccurate information—you can request corrections. It’s like being able to audit your financial records whenever you want, ensuring that everything is in order and nothing shady is happening behind your back.

How These Rights Work Together ?

Let’s consider an example to see these rights in action. Imagine you’re signing up for a healthcare app.

  1.Right to Informed Consent: The app clearly explains that it will collect your health data to provide fitness recommendations and secure it with encryption.

  2.Right to Specific Consent: The app asks for your consent specifically to track your daily steps and calorie intake—not to share this data with advertisers.

  3.Right to Withdraw Consent: Three months later, you decide you no longer want the app to track your calorie intake. You withdraw your consent, and the app immediately stops collecting this data.

  4.Right to Access and Control: You also request a summary of the data the app has collected so far and notice an error in your recorded weight. You ask for a correction, and the app updates your profile accordingly.

Together, these rights create a system where you remain in the driver’s seat, fully informed and fully in control.

4. Obligations of Data Fiduciaries Concerning Consent

Data fiduciaries bear significant responsibilities to uphold the consent framework:

Data fiduciaries, the entities entrusted with managing personal data, play a critical role in upholding the principles of consent under the Digital Personal Data Protection Act (DPDPA). They’re like the custodians of a digital vault, responsible for ensuring the data inside is handled ethically, securely, and transparently.

1) Obtain Clear Consent: Ensure that consent is explicit, informed, and freely given, avoiding any form of coercion.

At the heart of any consent framework is clarity. Data fiduciaries must ensure that consent is explicit, informed, and freely given. This means individuals should fully understand what they’re agreeing to, without being coerced or misled. Imagine you’re about to sign a contract. Would you do it without knowing the terms? Of course not! Similarly, consent under the DPDPA must be crystal clear. Fiduciaries are required to explain, in plain language, why they need your data, how they’ll use it, and for how long. Ambiguity or fine print? Not allowed. This obligation empowers individuals to make informed choices and eliminates manipulative practices like pre-ticked checkboxes or vague consent forms. By ensuring consent is genuine, data fiduciaries set the foundation for trust.

2) Provide Detailed Information: Clearly communicate the purpose, scope, and duration of data processing activities.

Transparency is like a window into the data processing world—it lets individuals see exactly what’s happening with their personal information. Data fiduciaries are required to provide detailed information about their activities, including: • Purpose: Why is the data being collected? • Scope: What specific data will be processed? • Duration: How long will the data be retained? Think of this as the fiduciary laying all their cards on the table. When you sign up for a service, they can’t just say, “We’ll use your data to improve user experience.” They need to spell out what “improve user experience” means—whether it involves personalized recommendations, behavioral analysis, or something else entirely. This level of transparency not only builds trust but also ensures individuals are never left in the dark about how their data is being used.

3) Implement Consent Management Systems: Develop robust systems to record, track, and manage consent, including mechanisms for withdrawal.

Managing consent isn’t a one-and-done task—it’s an ongoing responsibility. Data fiduciaries must develop robust consent management systems to record, track, and manage consent. These systems should make it easy for individuals to: • View the data they’ve shared. • Understand the permissions they’ve granted. • Update or withdraw their consent at any time. Picture it like a dashboard for your digital life—a place where you can see who has access to what, and adjust those permissions as needed. For fiduciaries, this isn’t just about compliance; it’s about creating a user-friendly experience that reinforces trust.

4) Ensure Data Security: Protect personal data through technical and organizational measures to prevent unauthorized access or breaches.

What good is consent if the data isn’t secure? Data fiduciaries are obligated to implement strong technical and organizational measures to protect personal data. This includes: • Encryption: Ensuring data is stored and transmitted securely. • Access Controls: Restricting who can access sensitive information. • Incident Response: Having a plan in place to handle data breaches swiftly. Imagine entrusting a bank with your money, only to find out they leave the vault door wide open. That’s the equivalent of poor data security. Fiduciaries must treat personal data with the same level of care and vigilance, ensuring it’s protected against unauthorized access, theft, or misuse.

5) Regular Audits and Compliance Checks: Conduct periodic reviews to ensure ongoing adherence to consent requirements under the DPDPA.

Compliance isn’t a one-time box to tick—it’s an ongoing journey. Data fiduciaries must conduct regular audits and compliance checks to ensure they’re adhering to the DPDPA’s consent requirements. These audits serve as a health check for their data practices, identifying any gaps or vulnerabilities before they become major issues. It’s like taking your car in for regular servicing—you address small problems early to avoid costly breakdowns later. By committing to continuous improvement, fiduciaries not only stay compliant but also demonstrate their dedication to ethical data management.

Why These Obligations Matter

You might be wondering, why all these rules? The answer is simple: to protect individuals and create a fair digital ecosystem. These obligations ensure that:

  • Consent is meaningful, not just a checkbox.

  • Transparency is prioritized, eliminating hidden agendas.

  • Data is secure, reducing the risk of breaches.

  • Trust is built, fostering better relationships between fiduciaries and individuals.

In essence, these responsibilities transform data fiduciaries from passive collectors into active stewards of personal information.

Real-Life Example: A Healthcare App

Let’s put these obligations into perspective with an example. Imagine a healthcare app that tracks your fitness progress:

  1.Obtain Clear Consent: The app explains that it needs your health data to provide tailored fitness recommendations.

  2.Provide Detailed Information: It specifies that it will collect your step count, calorie intake, and heart rate, and retain the data for six months.

  3.Implement Consent Management Systems: You can log in anytime to review the permissions you’ve granted or withdraw your consent.

  4.Ensure Data Security: The app encrypts your data and uses secure servers to prevent unauthorized access.

  5.Regular Audits and Compliance Checks: It conducts periodic reviews to ensure its practices align with the DPDPA.

This holistic approach ensures your data is handled with care, respect, and transparency.

5. Role of the Data Protection Board in Consent Issues

The Data Protection Board (DPB) is the regulatory authority responsible for enforcing the DPDPA. Its roles concerning consent include:

Monitoring Compliance: Oversee data fiduciaries to ensure they adhere to consent protocols.

Handling Complaints: Address grievances filed by individuals regarding misuse or mishandling of their consented data.

Imposing Penalties: Enforce fines and corrective actions against entities that violate consent requirements.

Guidelines and Recommendations: Issue directives to clarify consent-related provisions and best practices for data fiduciaries.

6. Role of the Consent Manager under the DPDPA

Let’s face it—managing consent in the digital age can feel like walking a tightrope. The Digital Personal Data Protection Act (DPDPA) 2023 introduces a game-changer in this regard: the Consent Manager. But who is this mysterious entity, and why does it matter? Think of a Consent Manager as a digital traffic cop, directing the flow of your personal data and ensuring it doesn’t get misused. Under the DPDPA 2023, Consent Managers act as intermediaries between data principals (that’s you and me) and data fiduciaries (companies handling our data). Their primary job? To make giving, withdrawing, and managing consent for data usage seamless, transparent, and secure. Here’s the cool part: Consent Managers must be registered with the Data Protection Board of India, ensuring they meet high standards of accountability and data security. They simplify the complex world of consent by offering easy-to-use interfaces, where individuals can control who gets access to their data and for what purpose—no more fine-print nightmares or shady opt-ins. Why is this important? Because in a world where data is the new oil, your consent is your power. With Consent Managers, DPDPA 2023 places control firmly in your hands, making data privacy not just a right, but a reality.

What Does a Consent Manager Do?

The Consent Manager is responsible for simplifying the process of providing, withdrawing, or managing consent. We’ve all faced those confusing consent forms full of legal jargon and endless checkboxes. Consent Managers aim to eliminate this frustration by offering user-friendly interfaces where you can control who gets access to your data and for what purpose.

For instance:

  • You can easily grant or revoke consent for specific data uses with just a click.

  • They ensure that you’re fully informed before granting consent, including details like why your data is being collected and how it will be used.

  • If you ever feel like withdrawing your consent, it’s as simple as toggling a switch—no lengthy processes or endless customer service calls.

Essentially, Consent Managers act as a guardian of your digital rights, making data privacy accessible and actionable.

Why Are Consent Managers Crucial?

In a world where data is the new oil, having control over who accesses your personal information is non-negotiable. Without proper checks and balances, data misuse can lead to identity theft, targeted scams, or even manipulation through behavioral profiling. Consent Managers ensure that your personal data is handled ethically and legally, aligning with the principles of informed consent. But their role doesn’t just stop at safeguarding your data rights. They also benefit businesses by reducing compliance risks. Companies that integrate Consent Manager services can demonstrate their commitment to data privacy, building trust with customers in a hyper-competitive market.

DPDPA 2023: Consent empowerment through Consent Manager The Consent Manager is more than just a tool—it’s a cornerstone of the DPDPA 2023’s mission to make data privacy a reality for everyone. By bridging the gap between individuals and organizations, Consent Managers ensure that your consent is not just a checkbox but a meaningful, enforceable
agreement. With this innovation, India takes a significant leap toward a privacy-first digital future, where your data remains truly yours.

7. Latest Amendments, Notifications, and Guidelines on Consent

Staying abreast of the latest changes is crucial for compliance. Recent updates should include:

Enhanced Consent Mechanisms: Introduction of more stringent requirements for obtaining explicit consent for sensitive data.

Clarifications on Consent Withdrawal: Detailed guidelines on how data fiduciaries should facilitate the withdrawal process.

Digital Consent Platforms: Encouragement of using secure digital platforms to manage and document consent interactions.

Periodic Audits: Mandatory regular audits to verify consent management practices and data handling procedures.

Clarity on Consent Managers Role Consent manager to be within organisation or outsourced. Consent managers liability and indeminity

Stay Updated:

Regularly consult the Data Protection Board of India's website for the latest amendments and official notifications.

8. Comparison with Other Indian Laws

Indian Contract Act, 1872

The Indian Contract Act, 1872 also touches upon consent, albeit in a different context:

1) Definition of Consent: Consent must be free, informed, and without coercion for a contract to be valid.

The Indian Contract Act, 1872 establishes consent as the cornerstone of valid agreements. It requires that parties willingly agree to the terms without coercion, fraud, undue influence, misrepresentation, or mistake. This principle, often referred to as consensus ad idem or “meeting of the minds,” ensures that all parties understand and agree to the same terms. Consent in this context is crucial because it validates the integrity of the agreement, making it enforceable under the law. For instance, if someone is misled into signing a contract based on false information, the consent is considered tainted, rendering the contract voidable at their discretion. This emphasis on free and informed consent creates a balance of power, safeguarding individuals from exploitation in contractual relationships.

2) Linking Consent to the DPDPA’s Framework

The Digital Personal Data Protection Act (DPDPA), 2023 adopts and adapts this concept of consent, bringing it into the digital age. Like the Contract Act, the DPDPA prioritizes informed and voluntary agreement. However, it takes this principle further by requiring explicit consent for the collection and processing of personal data, particularly sensitive information. The DPDPA also empowers individuals with dynamic control through the right to withdraw consent at any time, a feature not commonly emphasized in traditional contracts. By combining the foundational principles of the Indian Contract Act with modern requirements for transparency and individual control, the DPDPA transforms consent into a robust tool for protecting personal autonomy in a data-driven world. Together, these laws illustrate how the concept of consent has evolved to address both physical and virtual interactions, ensuring fairness and accountability across domains.

9. Landmark Case Laws on Consent in India

Several pivotal cases have shaped the understanding and enforcement of consent in India:

Justice K.S. Puttaswamy (Retd.) vs Union of India (2017): Affirmed the right to privacy as a fundamental right, underscoring the importance of consent in data protection.

Shreya Singhal vs Union of India (2015): Struck down Section 66A of the IT Act for being unconstitutional, highlighting the necessity for clear and lawful consent in data-related provisions.

Anurag Srivastava vs Google India Pvt Ltd (2021): Addressed issues related to consent and data privacy in the context of search engine data handling.

Vasundhara Raje vs Union of India (2018): Dealt with data breach notifications and the role of consent in governmental data processing.

These cases collectively emphasize the judiciary's stance on consent, reinforcing its critical role in data protection.

10. Real-World Examples Illustrating Consent

To better grasp the practical applications of consent under the DPDPA, consider the following scenarios:

Example 1: Online Shopping Platforms

Scenario:
When you make a purchase on an online platform, you provide personal details like name, address, and payment information.

Consent Implications:
The platform must obtain your explicit consent to process this data for order fulfillment, marketing, and improving user experience. You should have the option to opt-out of receiving promotional emails at any time.

Example 2: Healthcare Apps

Scenario:
A health tracking app collects sensitive data such as your health metrics, biometric data, and lifestyle information.

Consent Implications:
The app must obtain explicit consent before collecting this data, clearly stating how it will be used. Additionally, it must provide mechanisms for you to revoke consent and ensure that your data is securely stored and processed.

Example 3: Social Media Platforms

Scenario:
When signing up for a social media account, you agree to share personal information and interact with targeted advertisements.

Consent Implications:
The platform must ensure that consent is informed and specific, detailing how your data will be used. Users should have the ability to control the extent of data sharing and withdraw consent whenever desired.

11. Conclusion

The Future of Consent in a Data-Driven World As technology continues to evolve, the concept of consent will need to adapt. With the rise of artificial intelligence, predictive analytics, and IoT devices, data collection has become more pervasive and less visible. You might not even realize when your data is being collected—think smart speakers, wearable devices, or connected cars. The DPDPA’s emphasis on consent ensures we don’t lose sight of individual rights amid this technological boom. By requiring transparency and accountability, it sets a framework that can evolve alongside innovation. In a sense, it’s like setting the rules of the road for self-driving cars before they dominate the streets—future-proofing the system to ensure safety and fairness. Consent isn’t just a legal requirement; it’s a fundamental right that empowers, protects, and respects individuals in the digital age. Under the DPDPA, consent takes center stage as the cornerstone of ethical data practices. It promotes autonomy, fosters trust, and ensures accountability, creating a fairer and more transparent data ecosystem. As we navigate an increasingly data-driven world, the importance of consent will only grow. It’s not just about ticking a box; it’s about reclaiming control over what’s yours—your data, your decisions, your power. In this landscape, the DPDPA acts as a guiding light, ensuring that consent remains the bedrock of data privacy. stands as a pivotal element within the Digital Personal Data Protection Act, 2023 (DPDPA), safeguarding individual autonomy over personal data and fostering trust between data principals and fiduciaries. As data becomes increasingly integral to our lives, understanding and adhering to consent mechanisms is paramount for the general public, businesses, and legal professionals alike. By aligning with the DPDPA's stringent consent requirements, organizations not only ensure compliance but also contribute to a more secure and transparent digital ecosystem.

Stay Informed:
Data protection laws are ever-evolving. Regularly updating your knowledge and practices in line with the latest guidelines and amendments is essential for maintaining compliance and protecting individual privacy.

By: Advocate (Dr.) Prashant Mali (Founder, Cyber Law Consulting).

Additional Resources

Official DPDPA Documentation: Ministry of Electronics and Information Technology

Data Protection Board of India: Data Protection Board Website yet to be launched

Indian Contract Act, 1872: Full Text of the Act

Landmark Case Laws:

Justice K.S. Puttaswamy vs Union of India (2017)

Shreya Singhal vs Union of India (2015)

Anurag Srivastava vs Google India Pvt Ltd (2021)

Educational Materials:

Webinars and workshops on DPDPA compliance offered by industry bodies and educational institutions.

Online courses on data protection and privacy laws.

According to recent reports, cybercrime in India significantly increased in 2024 and will be growing all through 2025, with statistics showing a large rise in reported cases and financial losses, with over 740,000 cybercrime complaints filed in the first four months of the year alone, resulting in losses exceeding ₹1,750 crore to cybercriminals; this surge is attributed to a global increase in cyberattacks, placing India among the most affected countries

An updated list of cybercrimes and modus used this year. Worth Sharing isnt it ?.

1. If you are called about how the TRAI is going to disconnect your phone, do not respond. It is a scam.

2. If you are called by FedEx about a package and asked to press 1 or whatever, do not respond. It is a scam.

3. If a police officer calls you and talks to you about your Aadhaar, do not respond. It is a scam.

4. If they tell you that you are under 'digital arrest', do not respond. It is a scam.

5. It they tell you that drugs have been discovered in some package meant for you or sent by you, do not respond. It is a scam.

6. If they say you can't tell anyone, do not listen to them. Inform National Helpline for reporting cyber crime and financial frauds at 1930. If in State of Maharashtra you can also call 14407
You can file a complaint (take typed or hand written two copies with screen shots and bank statements) in nearest regular police station or cyber crime police station also. 7. If they contact you using WhatsApp or SMS, do not respond. It is a scam.

8. If anyone calls you and tells you they have sent money to your UPI id by mistake and that they just want their money back, do not respond. It is a scam.

9. If someone says they want to buy your car or your washing machine or your sofa and say they are from the army or CRPF and show you their id card, do not respond. It is a scam.

10. If someone says they are calling from Swiggy or Zomato and need you to confirm your address by pressing 1 or anything else, do not respond. It is a scam.

11. If they ask you to share OTP just to cancel the order or ride or whatever, do not respond. It is a scam. In any case, do not share your OTP with anyone over phone.

12. Never answer any calls on video mode, if you want to answer buy a webcam cover / mobile phone camera cover or sticker , first close the cover and answer the call

13. If confused simply switch off your phone & block that number.

14. Never press on any link written in blue.

15. Even if you get a notice about pornography or TAX Evasion from the highest Police , CBI, ED , IT Department; do verify offline.

16. Always check if such letters are from Government portals, TIP: Letters with too many logos and stamps are FAKE

17. If somebody calls you stating that a sub-poena( American's call summons of Court as Sub-poena) and you have to come and collect it or you have to pay to see it., ask him/her to send it through the process server of the court or by registered post to address on the summons or case file. If they threaten you, just waste the person's time. Also ask for the Judge's name, Court Room No and floor and /or Building no- if the person is not able to tell, then it means it is a sure shot scam.

18. If somebody calls and says that he /she is calling from Police station and you are being summoned, ask him/her to send it to local police station (dont disclose your location/city) and let the local police station serve it on you.

19. Don't part with ANY Debit/ Credit/ Rupay Card details including card number, CVV, Date of Expiry.

20. A phone number prefix of "160" indicates a call is meant for service or transactional purposes, usually from government agencies or regulated financial institutions, designed to help identify genuine calls and combat fraudulent ones; essentially, if a call starts with "160", it is likely a legitimate service call from a verified source like a bank or government department. Don't pick calls marked Spam or Fraud. Block all calls that fall under this category.

21. Disconnect any calls informing that "So and so asked me to send such and such amount to you". Call the person supposed to be sending you money and confirm. But, don't click on links or scan QR Code or share OTP.

22. Don't do anything if someone calls informing about an emergency/ illness/ accident of a dear one/ relative/ friend, asking to send/ deposit money. Even if it's a video call or a voice call. Call the dear one/ relative/ friend/ their family etc, and confirm. If the person is not reachable, then Google the numbers yourself and call the hospital etc and make enquiry. Physically reach that place, if feasible.

23. Don't respond to ANY calls/ messages "advising buying of shares/ stock Or cryptocurrency". Don't buy such stock because "definite gains" are predicted.

24. Don't respond to calls/ messages promising "home based work". They snare you, make you send money "for investing" while showing "profits". There are NEVER any profits. It's a scam.

25. Don't rush out of the house if you hear the voice of a dear one/ relative/ friend in pain, asking for help. Especially during the night. Try to assess who's outside. Call the dear one/ relative/ friend's mobile/ home. Call the police, if necessary.

26. Don't fall for "easy loans" Apps. They gradually snare you in taking multiple loans that you can't return. Sometimes, they promise huge returns, and give you loans for investing. There are NEVER profits. The money you "invested" is gone. You take the loan to only invest in some scam. Your "investment" will be lost but you will be responsible for paying off the Loan and interest. Then they start tightening the screws.

27. Avoid selling secondhand items on OLX or Quickr or any websites if the buyer is not paying from his own bank account or UPI.

28. Avoid falling prey to indiapost scam where someone calls and says your letter is undelivered and asks you to visit a website or directs you to a IVR CALL.

29. Remember these vultures feast on individual GREED and or FEAR. There is NOTHING FREE. There's nothing like "EASY MONEY/ RETURNS/ ONCE A LIFETIME DEAL"... And, if you are not dealing in drugs/ banned medicines/ fake passports/ illegal arms and ammunition/ human trafficking or other crimes like laundering money - YOU HAVE NOTHING TO FEAR!!

30. AVOID ALL IVR CALLS i.e. AUTOMATED CALLS ASKING TO PRESS SOME NUMBER FOR OPTIONS IN MENU

31. This is the link to Report Suspected Fraud Communication and Report Unsolicited Commercial Communication (UCC) / Spam: https://sancharsaathi.gov.in

32. This is the link to inform such fraudsters and file cyber crime or fraud related complaint: https://cybercrime.gov.in

REMEMBER- NO COURT/ POLICE STATION/ GOVT INVESTIGATION AGENCY CALLS and informs you - they work on paper mode and there is a reason for this ! Always STOP,PAUSE and dont jump to give answers !! Sharing it so that people are aware and don’t fall prey to the scammers.


By: Adv. (Dr.) Prashant Mali Founder at Cyber Law Consulting (Advocates & Attorneys)