Banks face a shrinking window to stop UPI fraud as mule networks move funds instantly

Industry participants say banks may need to identify and halt UPI-linked fraud within 30 seconds to one minute, pushing adoption of real-time behavioural monitoring, intelligence sharing and stronger safeguards against deepfake-enabled KYC fraud.

— Source publishedWed, 9 Sept, 2026, 20:29 IST·First seen Wed, 9 Sept, 2026, 20:52 IST·Source Financial Express · BrandWagon

What happened

HSBC · Banks may need to detect and stop UPI-linked fraud within 30 seconds to one minute as mule-account networks move funds instantly. Industry participants

Key facts

  • 30 seconds to 1 minute
  • 15 minutes
  • 2 minutes
  • Rs 22,000 crore
  • 2025
  • 2026

Why this matters

Targets with UPI-scale transaction analytics, consortium intelligence-sharing capabilities and deepfake-proof KYC technology could become strategic assets as banks compress fraud-response times.

What to watch

  • Regulatory guidance or liability rules specifying response-time expectations for reported or detected UPI fraud.
  • A rise in fraud losses involving newly opened accounts, first-time beneficiaries, device changes or deepfake-enabled KYC.
  • Broad adoption of beneficiary risk scores, payment cooling-off periods and real-time account-freeze APIs across banks and PSPs.
  • Merchant and consumer complaints about delayed UPI payments, declined legitimate transfers or repeated authentication challenges.
  • Evidence of mule-network displacement toward smaller banks, fintech accounts, wallets, cash-out agents or cross-border rails.
  • Prioritize real-time risk orchestration that combines transaction behaviour, device reputation, account tenure, beneficiary history, network links and customer-session signals.
  • Build intervention paths below one minute: transaction pause, customer confirmation through a trusted channel, beneficiary cooling-off, velocity caps and rapid account freezing.
  • Expand deepfake-resilient onboarding and recovery controls, including liveness detection, document verification, device binding and higher scrutiny for account changes.
  • Create or join cross-bank and PSP mule-intelligence exchanges with privacy, consent, auditability and rapid indicator distribution built in.
  • Measure fraud controls by prevented loss, false-positive rate, payment abandonment, intervention time and recovery rate rather than detection volume alone.