Case Explained: Home Ministry Plans AI Integration Into CCTNS 2.0 To Strengthen Crime Tracking – Legal Perspective

Artificial intelligence tools will be integrated into the second version of the Crime and Criminal Tracking Network and Systems, a nationwide platform linking 17,000 police stations, as part of efforts to strengthen crime detection and analysis, the home ministry has told a parliamentary panel.

AI Integration in National Crime Network

The planned upgrade, referred to as CCTNS 2.0, is expected to incorporate advanced AI capabilities to support law enforcement agencies. The ministry’s submission formed part of a report by the Standing Committee on Communications and Information Technology for 2024–25, chaired by Lok Sabha member Nishikant Dubey, on the impact of emerging artificial intelligence technologies.

The National Crime Records Bureau has outlined several proposed uses of AI within the system, including entity resolution and criminal profiling. The system is expected to connect different cases to a common suspect and generate a consolidated criminal profile using FIR data available across police stations.

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Expanding Role of AI in Crime Detection

The ministry said artificial intelligence is increasingly being used to analyse large datasets, detect anomalies and identify patterns and linkages. These capabilities are expected to enhance intelligence gathering and counter-terrorism efforts while improving the speed and accuracy of decision-making.

The Indian Cyber Crime Coordination Centre is also using AI to detect online crimes. In collaboration with IIT Bombay, efforts are underway to analyse behavioural and transactional patterns to identify mule accounts and assign suspect scores.

Tools for Prediction and Prevention

Authorities are exploring the development of real-time suspect scoring models in partnership with the Reserve Bank Innovation Hub. These systems are intended to help banks flag and potentially prevent fraudulent transactions.

Additional applications under consideration include automatic number plate recognition and AI-enabled facial recognition through CCTV systems for identifying suspects and managing traffic. The ministry also referred to tools that can extract relevant legal sections from FIR content using custom-trained AI models.

AI is expected to support predictive policing through risk terrain modelling, which combines crime history with social and local factors to anticipate potential crime locations. It may also assist in identifying repeat offenders and generating risk scores based on compiled offender data.