Police agencies worldwide are increasingly turning to artificial intelligence to sift through mountains of evidence, identify suspects, and speed up criminal investigations. Going far beyond text or image generation, AI tools are actively helping law enforcement analyze complex digital trails, enhance blurry CCTV footage, and even map criminal networks. From international intelligence agencies to state police forces in India, automated platforms have transitioned from experimental technologies into core components of routine policing workflows.
Global Agencies Leverage Data Forensic Software
The critical role of AI in high-stakes operations was highlighted recently when digital forensics company Exterro told Axios that the FBI utilized its platform during the frantic 48 hours between the attempted assassination of US President Donald Trump at the White House Correspondents’ Dinner and criminal charges being filed against suspect Cole Tomas Allen. While Exterro operates under strict non-disclosure agreements that limit the disclosure of specific operational details, company executives indicated that investigators typically use the software to process massive volumes of digital data, including messages from seized devices, social media accounts, and online trails.
This data surge is a primary driver behind the technology’s adoption. According to James Middleton, a threat researcher at Amsterdam-based Sensity AI, the sheer volume of information requiring analysis means digital investigations are no longer confined to specialized labs. Intuitive, easy-to-use AI tools are simplifying complex forensic workflows, allowing frontline officers without years of formal forensic training to handle data sifting routinely.
Indian Security Forces Modernize Local Workflows
In India, technology companies are actively deploying specialized platforms to bridge the gap between massive populations and limited police personnel. Tarun Wig, co-founder of Delhi-based cybersecurity firm Innefu Labs, noted that a city like Delhi has a population of 2 crore people monitored by a force of roughly 1,04,000 officers. Innefu’s AI platforms help narrow the field of suspects down to a manageable focus, specifically isolating around six or seven lakh repeat offenders to optimize investigative attention. Beyond suspect identification, these systems guide officers through standard operating procedures, helping organize evidence and prepare legally resilient charge sheets. Innefu has also developed revenue intelligence systems, which have reportedly helped identify fraudulent GST claims worth nearly Rs 5,700 crore.
State agencies and central departments are integrating these features across their workflows. The Delhi Police currently utilize Automated Facial Recognition Systems and AI-enabled smart glasses in crowded spaces, while the Kerala Police successfully resolved a 19-year-old cold case using facial reconstruction algorithms built from unidentified human remains. For database management, the Uttar Pradesh Police utilize Crime GPT to retrieve gang profiles and match voice samples, the Maharashtra Police use MahaCrimeOS, developed with Microsoft, to accelerate cybercrime investigations, and the National Investigation Agency has deployed an Organised Crime Network Database to map relationships across multiple state sources.
Rights Groups Warn of Surveillance Risks
Despite the distinct operational advantages in speed and capability, the rapid integration of AI has drawn significant scrutiny from civil liberties groups and privacy advocates. Experts have raised pressing concerns regarding privacy infringement, persistent public surveillance, and inherent algorithmic bias.
Warning flags have been raised over facial recognition systems, which critics state can produce false matches if the underlying training datasets are inaccurate or skewed. Furthermore, legal questions persist regarding how long investigative data should be retained by authorities and whether sufficient institutional safeguards exist to prevent data misuse. As automated tools like AMPED FIVE are increasingly deployed to detect deepfakes and enhance poor CCTV footage, governments worldwide face the growing challenge of balancing investigative acceleration with statutory transparency, accountability, and individual rights.
