Home Ministry’s AI Vision: Strategy, Goals and Key Initiatives

Context: A Parliamentary Committee report showed how the Ministry of Home Affairs is leveraging artificial intelligence (AI) as “a critical enabler” in strengthening India’s internal security architecture.

How AI is being used to tackle Internal Security Threats

• Predictive Policing: AI analyses crime patterns and location data to predict offences and optimise deployment (crime analytics systems in police forces).
• Cybercrime Detection: AI tools monitor phishing campaigns and suspicious transactions on the internet and dark web (used by the Indian Cyber Crime Coordination Centre – I4C).
• Dark Web Monitoring: AI systems track illegal discussions, malware markets and cybercrime operations on dark web platforms (used to identify cybercriminal networks).
• Financial Fraud Identification: AI identifies mule bank accounts through behavioural transaction patterns (I4C + IIT Bombay, RBI Innovation Hub assign “suspect scores” to mule bank accounts).
• Child Exploitation Detection: AI detects child sexual abuse material online before forwarding to police (CSEAM screening tools by CDAC Mumbai)
• Content removal: Automated detection and takedown of illegal images/videos through hash-matching systems (proposed Surakshini platform).
• Financial Cybercrime Prevention: AI-driven tools, such as Artificial Intelligence, help identify suspicious financial accounts used for cyber fraud and money laundering.
• Immigration Security: The IVFRT 3.0 system(Immigration, Visa, Foreigners Registration & Tracking) will use AI and machine learning for intelligent traveller profiling and immigration risk assessment (launch planned April 2026).
• Forensic Investigation: AI-assisted digital forensics tools help analyse electronic evidence, cybercrime data and document forgery patterns.

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