Launch of Central Suspect Registry to Combat Cyber Crimes

Introduction to Grooming

The term grooming is believed to have been first used by a group of investigators in the 1970s to describe patterns of seduction of an offender towards a child. It eventually evolved and began being commonly used by law enforcement agencies and has now replaced the term seduction for this behavioural pattern. At its core, grooming refers to conditioning a child by an adult offender to further their wrong motives. In its most popular sense, it refers to the sexual victimisation of children whereby an adult befriends a minor and builds an emotional connection to sexually abuse, exploit and even trafficking such a victim. The onset of technology has shifted the offline physical proximity of perpetrators to the internet, enabling groomers to integrate themselves completely into the victim’s life by maintaining consistent contact. It is noted that while grooming can occur online and offline, groomers often establish online contact before moving the ‘relationship’ offline to commit sexual offences.

Underreporting and Vulnerability of Teenagers

Given the elusive nature of the crime, cyber grooming remains one of the most underreported crimes by victims, who are often unaware or embarrassed to share their experiences. Teenagers are particularly more susceptible to cyber grooming since they not only have more access to the internet but also engage in more online risk-taking behaviours such as posting sensitive and personal pictures. Studies indicate that individuals aged 18 to 23 often lack awareness regarding the grooming process. They frequently engage in relationships with groomers without recognising the deceptive and manipulative tactics employed, mistakenly perceiving these relationships as consensual rather than abusive.

Rise of Cyber Grooming incidents after COVID-19 pandemic

There has been an uptick in cyber grooming after the COVID-19 pandemic, whereby an adult poses as a teenager or a child and befriends a minor on child-friendly websites or social media outlets and builds an emotional connection with the victim. The main goal is to obtain intimate and personal data of the minor, often in the form of sexual chats, pictures or videos, to threaten and coerce them into continuing such acts. The grooming process usually begins with seemingly harmless inquiries about the minor's age, interests, and family background. Over time, these questions gradually shift to topics concerning sexual experiences and desires. Research and data indicate that online grooming is primarily carried out by males, who frequently choose their victims based on attractiveness, ease of access, and the ability to exploit the minor's vulnerabilities. 

Beyond Sexual Exploitation: Ideological and Commercial Grooming

Grooming is not confined to sexual exploitation. The rise of technology has expanded the influence of extremist ideological groups, granting them access to children who can be coerced into adopting their beliefs. This phenomenon, known as ideological grooming, presents significant personal, social, national security, and law enforcement challenges. Additionally, a new trend, termed digital commercial grooming, involves malicious actors manipulating minors into procuring and using drugs. Violent extremists are improving their online recruitment strategies, learning from each other to target and recruit supporters more effectively and are constantly leveraging children’s vulnerabilities to reinforce anti-government ideologies.

Policy Recommendations to Combat Cyber Grooming

To address the pervasive issue of cyber grooming and child recruitment by extremist groups, several policy recommendations can be implemented. Social media and online platforms should enhance their monitoring and reporting systems to swiftly detect and remove grooming behaviours. This includes investing in AI technologies for content moderation and employing dedicated teams to respond to reports promptly. Additionally, collaborative efforts with cybersecurity experts and child psychologists to develop educational campaigns and tools that teach children about online safety and identify grooming tactics should be mandated. Legislation should also be strengthened to include provisions specifically addressing cyber grooming, ensuring strict penalties for offenders and protections for victims. In this regard, international cooperation among law enforcement agencies and tech companies is essential to create a unified approach to tackling cross-border online threats to children's safety and security.

References:

1. Lanning, Kenneth “The Evolution of Grooming: Concept and Term”, Journal of Interpersonal Violence, 2018, Vol. 33 (1) 5-16. https://www.nationalcac.org/wp-content/uploads/2019/05/The-evolution-of-grooming-Concept-and-term.pdf 
2. Jonie Chiu, Ethel Quayle, “Understanding online grooming: An interpretative phenomenological analysis of adolescents' offline meetings with adult perpetrators”, Child Abuse & Neglect, Volume 128, 2022, 105600, ISSN 0145-2134,https://doi.org/10.1016/j.chiabu.2022.105600. https://www.sciencedirect.com/science/article/pii/S014521342200120X 
3. “Online child sexual exploitation and abuse”, Sharinnf Electronic Resources on Laws and Crime, United Nations Office for Drugs and Crime. https://sherloc.unodc.org/cld/en/education/tertiary/cybercrime/module-12/key-issues/online-child-sexual-exploitation-and-abuse.html 
4. Mehrotra, Karishma, “In the pandemic, more Indian children are falling victim to online grooming for sexual exploitation” The Scroll.in, 18 September 2021. https://scroll.in/magazine/1005389/in-the-pandemic-more-indian-children-are-falling-victim-to-online-grooming-for-sexual-exploitation 
5. Lorenzo-Dus, Nuria, “Digital Grooming: Discourses of Manipulation and Cyber-Crime”, 18 December 2022 https://academic.oup.com/book/45362
6. Strategic orientations on a coordinated EU approach to prevention of radicalisation in 2022-2023 https://home-affairs.ec.europa.eu/system/files/2022-03/2022-2023%20Strategic%20orientations%20on%20a%20coordinated%20EU%20approach%20to%20prevention%20of%20radicalisation_en.pdf 
7. “Handbook on Children Recruited and Exploited by Terrorist and Violent Extremist Groups: The Role of the Justice System”, United Nations Office on Drugs and Crime, 2017. https://www.unodc.org/documents/justice-and-prison-reform/Child-Victims/Handbook_on_Children_Recruited_and_Exploited_by_Terrorist_and_Violent_Extremist_Groups_the_Role_of_the_Justice_System.E.pdf 

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Introduction

The advent of frontier AI has significantly widened the range of actors who can launch cyberattacks, extending beyond state actors with immense capabilities or organized professional cybercriminal rings. In its most critical advisory, CIAD-2026-0020, titled "Defending against frontier AI-driven cyber risks," which was released on April 26, 2026, the Indian Computer Emergency Response Team (CERT-In) officially stated that AI can now carry out autonomous cyber activities of unprecedented scale and speed. The advisory highlights that these frontier AI models can perform automated reconnaissance, phishing, malware creation, vulnerability identification, and social engineering with minimal human involvement, thus "lowering the barrier to orchestrating complex cyber attacks." The risks that such AI models pose are not restricted to state actors and corporate entities anymore and also extend to MSMEs, public organizations, and individuals.

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India’s Escalating Cybercrisis

The Indian digital economy has been developing at a very fast pace, but the same cannot be said about its cybersecurity. Having a base of over 850 million internet users and a digital payment sector that records a massive 22,495 crore in monthly transaction volumes, coupled with the fastest-growing cloud sector in the world, India continues to remain a lucrative prey for cybercriminals. There were over 265 million attempts reported in the last year, 2025, alone, where close to 46% of all incidents detected were in enterprises with fewer than 1,000 employees, a very grave reality for MSMEs. MHA confirmed there were 28.15 lakh reported cybercrime complaints in 2025 as compared to 2024, with a jump of 24%. In this worsening environment the advisory is a breakthrough in Indian cyber governance. Where previously advisories covered only conventional threats like phishing and malware, the new warning names frontier agentic AI systems as autonomous multipliers of threats, capable of conducting operations at scale and speed with significantly reduced human oversight.

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What is “Frontier AI” and why does it matter?

CERT-In’s decision to adopt the term "Frontier AI" is deliberate and meaningful. The advisory’s scope is a new category of agentic AI, which moves well beyond traditional chatbot-style AI, having the capacity to reason, plan, perform multiple actions in a single task autonomously, and carry out complicated tasks with minimal or no human guidance. CERT-In highlights that these tools now possess the capabilities that were "previously carried out by a coordinated team of skilled cybersecurity professionals." The advisory clearly flags the risk that these advanced models have the capability to generate malicious code, conduct network scans, probe systems for vulnerabilities, and even orchestrate intricate multi-stage cyberattacks in a single session. Their capacity to analyse a vast number of source code libraries to identify vulnerabilities, even unknown zero-day ones, and then develop proof-of-concept exploits at high speed. This means that the historical lead time to turn a vulnerability discovery into an exploit tool has reduced from weeks to just hours.

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Six Core Threat Vectors identified by CERT-In

1. AI-driven Automatic Zero-Day Discovery: AI-based solutions discover zero-day vulnerabilities and automatically create exploits in minutes, reducing the time taken by defenders.
2. AI-driven Autonomous Reconnaissance: AI-driven agents scan cloud infra, APIs, and enterprise networks and outline attack vectors.
3. AI-driven phishing & deepfakes: Multilingual, highly targeted phishing emails, deepfake audio, and deepfake voice/video calls bring sophistication to social engineering.
4. Deepfake Financial Fraud: AI creates deepfake executives for high-value money transfers. For example, reports have indicated crore-level fund loss cases in India.
5. AI-powered Autonomous Attack Chains: Advanced AI models are able to automatically perform multiple malicious stages like privilege escalation, lateral movement, data exfiltration, and data extraction.
6. Cascading failures of interconnected systems: A single AI-supported security breach can have catastrophic domino effects on connected digital systems and critical infrastructures.

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Why are MSMEs a target?

CERT-In’s warning is specifically targeted toward the weakness of the Indian MSMEs. Contributing almost 30% to India's GDP and employing over 110 million individuals, most MSMEs have failed to adequately prepare themselves against contemporary cyber threats. While a large corporation would have a full-time cybersecurity team, a security operation centre, and frequent vulnerability assessments, the majority of MSMEs lack such infrastructure due to budget constraints, out-of-date software, etc. This lack of security has proved to be quite disadvantageous for smaller businesses, as India was identified as one of the top global targets for cyberattacks, where approximately 46% of the total breaches worldwide targeted organizations having fewer than 1000 employees. The advisory claims that frontier AI systems have significantly increased the threats, for the skills necessary to carry out advanced cyberattacks have dramatically decreased. Ransomware, phishing and data exfiltration can be executed by even unsophisticated attackers. The aftermath could result in critical financial, operational, and compliance impact on these MSMEs.

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The Global Context

These developments seem to validate CERT-In's warning about threats posed by frontier AI. In its 2026 State of Cybersecurity Report, ISACA listed AI-related threats as the top concern of cybersecurity professionals; 61% of those surveyed reported generative AI/large language models as the top technology trend impacting cyber risk. Worryingly, in 2026 only 7% were confident in their organizations' defenses against ransomware. Check Point Software's Cyber Security Report 2026 corroborates this; in 2025 the report stated that in a single year, the trend of combined social engineering-based campaigns with automated operational execution has risen considerably. In all phases of the lifecycle of a cyberattack reconnaissance, social engineering, and tactical decision-making AI is being applied. KPMG is warning of deepfake-enabled fraud now "spreading at a faster rate than that experienced at the beginning of the phishing era, which is currently still the leading type of attack in the world."

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CERT-In Recommendations

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For Large Organisations:

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1. The use of security monitoring, threat detection, and log analysis should be increased.
2. DDoS protection systems and multi-factor authentication (MFA) should be implemented on all internet-facing devices and assets.
3. Critical security patches should be installed within 24 hours of release.
4. Old VPN and remote-access infrastructure should be updated or replaced.
5. AI-driven cyber drills and incident response simulations should be regularly performed.

‍For MSMEs:

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1. Software and security updates should be automatically enabled on all devices and systems.
2. MFA should be enabled on organisational accounts and sensitive platforms.
3. MSMEs should utilize MSSPs for specialized support and monitoring.
4. Detailed inventories of IT assets and system logs should be kept for fast incident response.
5. Staff should be educated about identifying AI-generated phishing, deepfakes, and scams.

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For Individuals:

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• Independent communication channels should be used to verify any dubious message or money request.
• Software from unverified sources or unauthorised channels should not be downloaded.
• The use of strong and unique passwords along with MFA wherever possible should be enforced.

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From Advisory to Action

The May 2026 cybersecurity road map released by CERT-In signals a departure from identification of threats to enabling operations against frontier AI-led cyber threat landscapes. This initiative builds on their April advice and delineates a clearly articulated three-phase roadmap comprising immediate cyber readiness, AI governance controls, and deep integration of AI-driven defenses. It also provides for the establishment of a focused AI Cyber Defense Center and various multisector governance provisions. A prominent area is the increased threat of impersonation via deepfakes, and companies are encouraged to institute executive verification procedures prior to approving high-value transactions. The framework also emphasizes the establishment of an AI asset register requiring formal accounting and governance of all AI systems utilized in an enterprise. Meanwhile, CERT-In also recognizes the twin-use nature of frontier AI: for every threat, the same technology can bolster security with automated threat detection, phishing, and log analysis in real time.  However, the deployment of state-of-the-art defenses is uneven, especially with MSMEs, where there isn’t the requisite domain expertise and funding for this infrastructure. Accordingly, the road map puts the emphasis on immediate and stronger cyber hygiene, compulsory incident reporting, enhancing AI literacy, and proper implementation of the Digital Personal Data Protection Act for long-term security investment and resilience.

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Conclusion

The CERT-In advisory CIAD-2026-0020 signifies a vital acknowledgment of AI's transformational impact on the cybersecurity ecosystem. Capabilities formerly exclusive to elite state actors are being deployed by low-skilled users, leveraging state-of-the-art frontier AI tools. India’s MSMEs, enterprises, and digital citizens are experiencing a rapidly accelerating threat milieu. In this context, the CERT-In advisory and the ensuing blueprint can no longer be dismissed as ordinary government pronouncements but as critical operational imperatives. It is the country’s ability over the next few years to shore up its collective cyber resilience to the ever-increasing scale and sophistication of AI-powered attacks that will prove crucial.

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References:

1. https://www.cert-in.org.in/s2cMainServlet?pageid=PUBVLNOTES02&VLCODE=CIAD-2026-0020
2. https://www.zeebiz.com/technology/news-cert-in-flags-high-severity-ai-cyber-risks-amid-claude-mythos-concerns-394448
3. https://www.business-standard.com/technology/tech-news/cert-in-warning-ai-scams-frontier-models-mythos-gpt-5-5-what-it-means-126042800988_1.html
4. https://www.businesswire.com/news/home/20251020612551/en/
5. https://corporate.indiamart.com/2025/07/29/staying-ahead-of-cyber-threats/
6. https://kpmg.com/kpmg-us/content/dam/kpmg/pdf/2025/deepfakes-real-threat.pdf

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Introduction

Artificial Intelligence (AI) driven autonomous weapons are reshaping military strategy, acting as force multipliers that can independently assess threats, adapt to dynamic combat environments, and execute missions with minimal human intervention, pushing the boundaries of modern warfare tactics. AI has become a critical component of modern technology-driven warfare and has simultaneously impacted many spheres in a technology-driven world. Nations often prioritise defence for significant investments, supporting its growth and modernisation. AI has become a prime area of investment and development for technological superiority in defence forces. India’s focus on defence modernisation is evident through initiatives like the Defence AI Council and the Task Force on Strategic Implementation of AI for National Security.

The main requirement that Autonomous Weapons Systems (AWS) require is the “autonomy” to perform their functions when direction or input from a human actor is absent. AI is not a prerequisite for the functioning of AWSs, but, when incorporated, AI could further enable such systems. While militaries seek to apply increasingly sophisticated AI and automation to weapons technologies, several questions arise. Ethical concerns have been raised for AWS as the more prominent issue by many states, international organisations, civil society groups and even many distinguished figures.

Ethical Concerns Surrounding Autonomous Weapons

The delegation of life-and-death decisions to machines is the ethical dilemma that surrounds AWS. A major concern is the lack of human oversight, raising questions about accountability. What if AWS malfunctions or violates international laws, potentially committing war crimes? This ambiguity fuels debate over the dangers of entrusting lethal force to non-human actors. Additionally, AWS poses humanitarian risks, particularly to civilians, as flawed algorithms could make disastrous decisions. The dehumanisation of warfare and the violation of human dignity are critical concerns when AWS is in question, as targets become reduced to mere data points. The impact on operators’ moral judgment and empathy is also troubling, alongside the risk of algorithmic bias leading to unjust or disproportionate targeting. These ethical challenges are deeply concerning.

Balancing Ethical Considerations and Innovations

It is immaterial how advanced a computer becomes in simulating human emotions like compassion, empathy, altruism, or other emotions as the machine will only be imitating them, not experiencing them as a human would. A potential solution to this ethical predicament is using a 'human-in-the-loop' or 'human-on-the-loop' semi-autonomous system. This would act as a compromise between autonomy and accountability.

A “human-on-the-loop” system is designed to provide human operators with the ability to intervene and terminate engagements before unacceptable levels of damage occur. For example, defensive weapon systems could autonomously select and engage targets based on their programming, during which a human operator retains full supervision and can override the system within a limited period if necessary.

In contrast, a ‘human-in-the-loop” system is intended to engage individual targets or specific target groups pre-selected by a human operator. Examples would include homing munitions that, once launched to a particular target location, search for and attack preprogrammed categories of targets within the area.

International Debate and Regulatory Frameworks

The regulation of autonomous weapons that employ AI, in particular, is a pressing global issue due to the ethical, legal, and security concerns it contains. There are many ongoing efforts at the international level which are in discussion to regulate such weapons. One such example is the initiative under the United Nations Convention on CertainConventional Weapons (CCW), where member states, India being an active participant, debate the limits of AI in warfare. However, existing international laws, such as the Geneva Conventions, offer legal protection by prohibiting indiscriminate attacks and mandating the distinction between combatants and civilians. The key challenge lies in achieving global consensus, as different nations have varied interests and levels of technological advancement. Some countries advocate for a preemptive ban on fully autonomous weapons, while others prioritise military innovation. The complexity of defining human control and accountability further complicates efforts to establish binding regulations, making global cooperation both essential and challenging.

The Future of AI in Defence and the Need for Stronger Regulations

The evolution of autonomous weapons poses complex ethical and security challenges. As AI-driven systems become more advanced, a growing risk of its misuse in warfare is also advancing, where lethal decisions could be made without human oversight. Proactive regulation is crucial to prevent unethical use of AI, such as indiscriminate attacks or violations of international law. Setting clear boundaries on autonomous weapons now can help avoid future humanitarian crises. India’s defence policy already recognises the importance of regulating the use of AI and AWS, as evidenced by the formation of bodies like the Defence AI Project Agency (DAIPA) for enabling AI-based processes in defence Organisations. Global cooperation is essential for creating robust regulations that balance technological innovation with ethical considerations. Such collaboration would ensure that autonomous weapons are used responsibly, protecting civilians and combatants, while encouraging innovation within a framework prioritising human dignity and international security.

Conclusion

AWS and AI in warfare present significant ethical, legal, and security challenges. While these technologies promise enhanced military capabilities, they raise concerns about accountability, human oversight, and humanitarian risks. Balancing innovation with ethical responsibility is crucial, and semi-autonomous systems offer a potential compromise. India’s efforts to regulate AI in defence highlight the importance of proactive governance. Global cooperation is essential in establishing robust regulations that ensure AWS is used responsibly, prioritising human dignity and adherence to international law, while fostering technological advancement.

References

●     https://indianexpress.com/article/explained/reaim-summit-ai-war-weapons-9556525/

●     https://blogs.icrc.org/law-and-policy/2024/04/25/the-road-less-travelled-ethics-in-the-international-regulatory-debate-on-autonomous-weapon-systems/

●     https://disarmament.unoda.org/the-convention-on-certain-conventional-weapons/background-on-laws-in-the-ccw/

●     https://www.cambridge.org/core/services/aop-cambridge-core/content/view/5FD01B5A96116766C3B1273490B24897/S0892679423000357a.pdf/banning-autonomous-weapons-a-legal-and-ethical-mandate.pdf

●     https://www.pib.gov.in/PressReleasePage.aspx?PRID=1846937