Cops use AI to map cybercrime hotspots, track money trails | Jaipur News | #cybercrime | #infosec


Indian police officers use an AI-powered cybercrime mapping dashboard to identify digital fraud hotspots and trace money trails during an investigation, with their faces kept out of view for privacy.

Jaipur: Cyber fraudsters may hide their identities, but their money leaves a trail.Jaipur police are using AI to map cybercrime hotspots linked to suspicious bank accounts, ATM withdrawals, cheque transactions, PoS terminals and bank branches.AI-enabled statistical tools are combing through financial transactions, flagging suspicious patterns and pinning them to locations on a map, DCP (South) Rajarshi Raj Varma said.The exercise is part of a crackdown on mule accounts, the rented or stolen bank accounts that fraud gangs use to launder their loot.The map is already crowded. Across 15 police stations in Jaipur South, the tools have flagged about 5,300 hotspots in six categories.ATM withdrawals led by a distance with 3,569, followed by 1,114 tied to mule accounts and 384 surfaced through the Pratibimb portal.Cheque withdrawals account for 159 hotspots, while 51 bank branches and 15 PoS locations have also come under suspicion.Each category marks a point where stolen money can surface. Mule accounts swallow and shuffle fraud proceeds.ATM and cheque withdrawals show where the cash is pulled out, helping investigators trace its movement.Suspicious PoS terminals and bank branches are being scrutinised for links to fraudulent transactions.Police have started knocking on doors too.In Bhagwati Nagar First, Kartarpura, officers traced a suspicious PoS agent to an address and found the house locked. Neighbours said an elderly couple lived there and visited only occasionally. No office operated from the premises.Speaking to TOI, an official said the AI analysis had flagged several SIM card vendors for scrutiny. Police are also examining whether some bank employees helped facilitate the movement of fraud proceeds.“The analysis flagged patterns of repeated withdrawals from ATMs using suspicious bank accounts,” an official said. “In other cases, it identified SIM card vendors who supplied cards that were later used in cybercrime.”



Click Here For The Original Source.

——————————————————–

..........

.

.