# Mumbai cyber police arrest man over Rs 31.5 lakh investment fraud 2026-08-16T19:01:36+00:00 | Governance | Indian Opinion Desk Corroboration: 2 independent outlets The Mumbai Cyber Police have arrested three men, including a retired BEST employee, for operating a mule bank account used to channel proceeds from cyber frauds. The Times of India reports that transactions worth Rs 2.54 crore were routed through the account of J Kalkari, who was arrested along with associates Y Solanki and Kunal Maske. The arrests followed a complaint by a 62-year-old woman from Goregaon who lost Rs 31.5 lakh in an investment scam after receiving a WhatsApp message offering returns on share market investments. According to the Times of India, Kalkari handed over his banking details to Solanki and Maske, who passed them to a cybercriminal in exchange for a commission. The accused told police they do not know the identity of that criminal. Separately, the Hindustan Times reports that the Chandigarh cyber police arrested Raj Kumar Shaw from West Bengal for allegedly duping a woman of Rs 9.51 lakh in a digital arrest case, and Mohammad Umar from Kolkata for cheating another resident of Rs 23.3 lakh in an investment fraud. The accused in both Chandigarh cases have been sent to judicial custody. ## Coverage - timesofindia.indiatimes.com - hindustantimes.com This story was synthesised by AI from the 2 sources linked above. Updated: this story now draws on 2 sources. Last updated 2026-08-17T06:36:55+00:00. Tags: BEST, Cyber crime, Goregaon, Mumbai Police Canonical: https://indianopinion.org/retired-best-staffer-held-over-mule-accounts-in-cyber-scams/ License: Summary and commentary (c) Indian Opinion, reusable with attribution. Facts belong to the linked sources. Cite: https://indianopinion.org/retired-best-staffer-held-over-mule-accounts-in-cyber-scams/#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/