# Jaipur police use AI to map cybercrime hotspots, track money trails 2026-10-11T04:26:15+00:00 | Governance | Indian Opinion Desk Corroboration: 2 independent outlets Jaipur police are using an AI-powered dashboard to identify cybercrime hotspots linked to suspicious bank accounts, ATM withdrawals, cheque transactions, PoS terminals and bank branches. Across 15 police stations in Jaipur South, the tools have flagged about 5,300 hotspots in six categories. ATM withdrawals lead with 3,569, followed by 1,114 tied to mule accounts and 384 through the Pratibimb portal. Police have also traced a suspicious PoS agent to a locked house in Kartarpura, and are examining whether bank employees helped facilitate fraud proceeds. Separately, the Tamil Nadu Police Cyber Crime Wing held a state-level coordination meeting with banks on Friday, 9 October 2026. DGP Mahesh Kumar Aggarwal asked banks to strengthen scrutiny of high-risk accounts and identify patterns in mule accounts used for cyber fraud. Banks were advised to display cybercrime helpline number 1930 and the website www.cybercrime.gov.in on passbooks, cheque books, ATMs and branch offices, and to undertake awareness initiatives under their CSR programmes. ## Indian Opinion Analysis The Times of India report focuses on a specific operational tool in Jaipur, giving concrete numbers (5,300 hotspots) and a local doorstep investigation, while the New Indian Express covers a policy-level meeting between Tamil Nadu police and banks, with no operational data. Both outlets report on mule accounts and cybercrime prevention, but the Jaipur story emphasises police action and technology, whereas the Express story centres on inter-agency coordination and bank compliance. Neither outlet is critical of the government, the reporting is neutral and factual in both cases. The difference is purely a matter of scale: a local initiative versus a state-level directive. Tamil Nadu Police has asked banks to implement enhanced due diligence for high-risk accounts and to study mule account patterns. Banks were also told to display the cybercrime helpline and website on passbooks and ATMs. ## Coverage Coverage: 2 sources, 2 neutral - timesofindia.indiatimes.com (neutral report) Factual account of AI dashboard with no opinion or criticism - newindianexpress.com (neutral report) Straight report of police-bank meeting with no slant This brief was synthesised by AI from the 2 sources linked above, so one read covers every framing they carry. Tags: cybercrime, Jaipur Police, Mahesh Kumar Aggarwal, mule accounts, Pratibimb portal, Tamil Nadu Police Canonical: https://indianopinion.org/jaipur-police-use-ai-to-map-cybercrime-hotspots-track-money-trails/ License: Summary and commentary (c) Indian Opinion, reusable with attribution. Facts belong to the linked sources. Cite: https://indianopinion.org/jaipur-police-use-ai-to-map-cybercrime-hotspots-track-money-trails/#story-in-brief How this brief was made: an AI model read the reports linked above and wrote this summary and analysis, which were published automatically. Published briefs are sampled every hour by an automated quality check; the editor verifies its findings and approves corrections, and corrected briefs carry a dated correction line. Stance labels are editorial classifications of how each outlet framed this story, assigned by the same model, not ratings of the outlets. We do no original reporting. Methodology: https://indianopinion.org/ai-use-policy/