Artificial Intelligence is no longer merely a technology that police forces can choose to adopt. It is rapidly becoming both a weapon in the hands of criminals and adversaries and an indispensable capability for those responsible for protecting society.
Deepfake video and voice, synthetic identities, AI-assisted phishing, automated reconnaissance, multilingual social engineering, autonomous malware, algorithmically generated disinformation and industrial-scale financial fraud are changing the character of crime.
India’s policing architecture must therefore undergo a corresponding transformation.
The recent restructuring being pursued by the United States’ National Security Agency, placing Artificial Intelligence, cybersecurity and other strategic missions prominently within its organisational architecture, should trigger a larger discussion in India—not about copying another country’s intelligence model, but about whether India’s own policing and internal-security structures adequately reflect the threats of the AI era.
India has already taken several important steps. What is now required is to connect these initiatives into a mission-oriented AI policing architecture extending from the Ministry of Home Affairs to State Police headquarters and ultimately to investigators at police-station level.
The Threat Has Changed. Has Our Police Structure Changed With It?
Traditional policing organisations were built largely around geography and conventional categories of crime—districts, police stations, crime branches, economic offences, intelligence, traffic and specialised investigation units.
Cybercrime challenged that model because an offender sitting thousands of kilometres away could simultaneously target victims across multiple States.
AI takes the challenge considerably further.
A criminal network can potentially use generative AI to prepare convincing documents, clone voices, fabricate video evidence, automate communication with thousands of potential victims and rapidly change its digital identities.
AI-enabled threats can also extend beyond conventional crime into espionage, terrorism, radicalisation, information warfare, attacks against critical infrastructure and threats to national security.
The Government has acknowledged these emerging risks. In August 2026, the Ministry of Home Affairs stated that its cybercrime framework was addressing AI-enabled cybercrime and highlighted initiatives ranging from the Indian Cyber Crime Coordination Centre (I4C) and the Cyber Fraud Mitigation Centre to cyber commandos and national cybercrime analytics capabilities.
This is precisely why AI can no longer remain simply an IT subject inside police organisations.
It must become an operational policing capability.
India Is Not Starting From Zero
India already possesses important building blocks upon which a stronger architecture can be constructed.
The Indian Cyber Crime Coordination Centre (I4C) became an attached office of the Ministry of Home Affairs in July 2024 and includes components such as the National Cybercrime Threat Analytics Unit, National Cybercrime Training Centre, National Digital Investigation Support Centre and National Cyber Crime Research and Innovation Centre.
Its mandate specifically includes technology development, threat analysis and coordination among law-enforcement agencies.
More significantly from the national-security perspective, the Ministry of Home Affairs established the Cyber Multi Agency Centre (CyMAC) under the Multi Agency Centre framework in January 2025 to address cyber threats, cyber espionage and misuse of emerging technologies affecting national security.
The MHA Annual Report describes CyMAC as bringing agencies including CERT-In, I4C, NCIIPC and NIC into a common mechanism for threat intelligence and coordinated response.
That is an important institutional development.
The Cyber Commando programme provides another foundation. As of June 2026, 281 cyber commandos had completed specialised training at institutions including IITs, IIITs, Rashtriya Raksha University and the National Forensic Sciences University.
These initiatives demonstrate that India already recognises emerging technology threats as requiring specialised personnel, national coordination and advanced technology.
CBI’s ABHAY Shows What AI-Enabled Policing Can Look Like
An especially notable development came from the Central Bureau of Investigation in May 2026.
The CBI launched ABHAY—AI-Based Helpbot for Authentication of CBI Notices, a real-time system intended to help citizens verify whether purported CBI notices are genuine and counter “digital arrest” scams in which criminals impersonate law-enforcement officers.
It is a practical example of AI being deployed not simply for internal analytics but directly to counter an emerging AI-era criminal technique.
The lesson could be expanded.
Authenticated digital verification mechanisms could potentially cover police notices, summonses, warrants and official communications across India.
AI systems could also assist investigators in identifying interconnected complaints across States, detecting mule-account networks, mapping criminal infrastructure and correlating telephone numbers, devices, IP addresses, bank accounts, cryptocurrency wallets and social-media identities.
Parts of this ecosystem are already emerging. I4C’s Samanvaya platform provides data sharing and analytics for interstate crime linkages, while its Pratibimb module maps criminals and crime infrastructure geographically.
The next stage should be to integrate these capabilities into a coherent AI-enabled investigative environment.
Defence Is Moving in the Same Direction
Indian defence institutions are simultaneously preparing for an AI-intensive security environment.
The Chief of Defence Staff has publicly emphasised that future warfare will increasingly involve AI, cyber capabilities, autonomous systems, information warfare and data-driven decision-making.
The Tri-Services Future Warfare Course is already examining these technologies as part of future operational preparedness.
The Territorial Army’s Terrier Cyber Quest 2026 goes further by explicitly seeking AI and machine-learning solutions for predictive threat intelligence, automated defence and anomaly detection through its “AI Kavach” challenge.
CERT-In has similarly conducted exercises specifically addressing AI-driven threats. The government reported in July 2026 that ten such exercises involved 1,470 participants from 345 government and private organisations.
Police, intelligence, national-security and defence organisations are therefore confronting increasingly overlapping technological threats.
India’s institutional architecture should recognise this convergence.
Proposal for Conducting Cyber Crisis Drill, Tabletop Exercise (TTEx) & CCMP Readiness Exercise
A Proposal: Directorate of AI in Policing
India could consider establishing a dedicated Directorate of Artificial Intelligence in Policing at the national level under an appropriate MHA framework, complemented by corresponding AI and Emerging Technology Units in every State Police organisation.
This should not become another isolated technology department.
Its purpose should be operational.
Seven core missions could include:
1. AI Crime and Threat Intelligence
Detecting patterns across organised crime, terrorism, financial fraud and emerging technology-enabled offences.
2. AI-Assisted Investigation
Providing investigators with validated tools for data correlation, document analysis, multimedia analysis, entity resolution, timelines and large digital-evidence datasets.
3. Deepfake and Synthetic Media Forensics
Developing national capabilities for rapid examination of suspected AI-generated audio, video, images and documents.
4. AI Financial Crime Analytics
Integrating fraud patterns, mule accounts, payment trails, cryptocurrency intelligence and cross-jurisdictional link analysis.
5. AI for Predictive Threat Detection
Identifying emerging criminal infrastructure and campaigns while operating within clearly defined legal, privacy and human-oversight safeguards.
6. AI Red Team and Adversarial Research
Continuously examining how criminals, hostile actors and organised networks could misuse emerging AI technologies.
7. Responsible AI, Evidence and Governance
Establishing standards governing accuracy, auditability, bias, privacy, chain of custody and the evidentiary use of AI-generated investigative outputs.
Every State Police Needs an AI Cell
A national directorate alone will not be enough.
Police and public order remain State subjects, and therefore operational transformation must reach State Police organisations.
Every State could progressively establish an AI and Emerging Technology Cell, preferably under the DGP with strong operational links to the State Crime Branch, Intelligence, ATS/STF, Economic Offences Wing, State FSL and district police.
Larger States could eventually develop specialised AI laboratories supporting district investigators.
The objective should not be to replace investigators with algorithms.
It should be to create the AI-augmented police officer.
A Sub-Inspector investigating thousands of pages of chats, hundreds of bank transactions and multiple devices should not have to manually discover relationships that a properly governed analytical system can surface within minutes.
But the machine should assist the investigator—not become the investigator.
Human accountability must remain fundamental.
Create an AI Security Grid for India
The larger opportunity is inter-agency integration.
India already has organisations possessing different pieces of the technological-security puzzle: MHA, I4C, IB, CBI, NCRB, BPR&D, CERT-In, NCIIPC, defence institutions, State Police, forensic laboratories and other specialised agencies.
They do not all require identical databases or unrestricted access to one another’s information.
What is required is a federated AI Security Grid capable of enabling lawful, role-based and auditable exchange of threat indicators and analytical insights.
A crime pattern identified by State Police may have implications for financial fraud elsewhere. A deepfake campaign could evolve into disinformation affecting public order. Malicious software detected against civilian infrastructure could possess national-security implications.
The boundaries between crime, espionage, terrorism and information warfare are becoming increasingly interconnected.
The information-sharing architecture must therefore become faster and more coordinated.
Train Police Before Buying AI
There is also a danger that “AI policing” becomes synonymous with purchasing software.
That would be a serious mistake.
Technology without trained investigators produces expensive dashboards.
India therefore needs a national AI Literacy for Police programme covering everyone from constables to DGPs, while advanced investigators require specialised training in machine-learning concepts, generative AI, deepfake investigation, AI-assisted OSINT, digital evidence, algorithmic bias and AI governance.
The foundation already exists.
I4C’s CyTrain platform had more than 1.63 lakh police and judicial officers registered by June 2026, according to the Ministry of Home Affairs.
BPR&D and the National Judicial Academy have also begun institutional discussions. Their April 2026 national conference on AI in the criminal-justice system brought together police, judiciary, prosecution, forensic science and correctional-services stakeholders.
The next step could be a structured national competency framework for AI in policing.
Build With India’s Universities and Start-Ups
Government cannot innovate at the speed of AI alone.
MHA could establish structured partnerships connecting police organisations with IITs, IIITs, NFSU, universities, start-ups, AI researchers, technology companies and digital-forensics specialists.
Instead of merely buying finished products, police organisations could publish operational problem statements.
How can AI detect digital-arrest scripts?
How can multilingual voice-cloning attacks be identified?
Can thousands of complaints automatically reveal a common criminal infrastructure?
Can investigators identify synthetic identities before they are used to open bank accounts?
Can deepfake evidence be authenticated rapidly enough for operational policing?
These could become national policing innovation challenges.
AI Must Also Police AI
Perhaps the most important principle is simple:
“The criminal is becoming AI-enabled. The police officer cannot remain merely digitally enabled.” — Prof. Triveni Singh, Former IPS Officer
India has successfully built large-scale digital public infrastructure. Criminals are inevitably trying to exploit the same interconnected digital ecosystem.
The answer cannot be to retreat from technology.
The focus should instead be on better technology, better investigation and better institutional coordination.
I4C, CyMAC, the Cyber Commando programme, CBI’s ABHAY initiative, CERT-In’s AI-threat exercises and the emerging defence focus on AI show that important pieces of the architecture already exist.
What India now needs is to connect them strategically.
“AI should become a dedicated policing mission—not merely another software tool. Every State Police must eventually possess the capability to investigate crimes committed by AI, against AI systems and through AI-enabled infrastructure.” — Prof. Triveni Singh,Former IPS Officer
The Ministry of Home Affairs could provide the doctrine, standards, national platforms and inter-agency coordination. State Police forces could provide operational execution. CBI and specialised agencies could address complex national and interstate investigations. Academia and industry could supply innovation, while India’s national-security institutions could provide strategic threat perspectives.
The Centre for Police Technology is ready to support the Ministry of Home Affairs, Central Police Organisations and State Police forces in designing and implementing such AI infrastructure, including institutional frameworks, technology roadmaps, training programmes, pilot projects, governance standards and operational deployment.
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