RBI Explores AI-Based Facial Recognition for ATMs to Curb Fraud; Banks Flag Cost, Privacy Concerns

The Reserve Bank of India (RBI) is exploring the use of artificial intelligence (AI)-based facial recognition systems across ATMs, bank branches and other banking outlets, as part of its broader push to strengthen fraud prevention.

The central bank has sought feedback from lenders on the feasibility and effectiveness of such technology, particularly in fraud-prone areas. The move reflects RBI’s growing focus on adding advanced verification layers to safeguard customers amid rising digital and physical banking fraud.

Focus on High-Risk Locations

According to people familiar with the development, the RBI is considering deploying AI-powered systems in identified fraud hotspots to enable real-time customer verification.

Facial recognition tools could help banks detect suspicious transactions more quickly and potentially block fraudulent activity before it occurs. If implemented, the system may be rolled out across both public and private sector banks.

The proposal aligns with the regulator’s increasing reliance on technology-driven solutions to strengthen banking security infrastructure.

Operational and Cost Challenges

Banks, however, have raised concerns about the operational complexity and cost implications of such a rollout.

Implementing AI-based facial recognition would require significant upgrades, including installation of advanced cameras at ATMs and branches, enhanced processing capabilities, and integration with core banking systems.

Ensuring compatibility with payment systems operated by the National Payments Corporation of India (NPCI) adds another layer of complexity. Smaller banks, in particular, may face challenges in absorbing the additional costs and upgrading their technological infrastructure.

Privacy and Regulatory Considerations

Data privacy has emerged as a key concern among lenders. Banks have highlighted the need to ensure compliance with the Digital Personal Data Protection Act, 2023 before deploying such systems.

Questions also remain around potential integration with Aadhaar-based authentication, which could require coordination with the Unique Identification Authority of India (UIDAI).

Industry participants have stressed that regulatory clarity and robust safeguards will be essential before any large-scale implementation.

Read more: SBI Raises ₹6,051 Crore Through Basel III Tier 2 Bonds at 7.05% Coupon.

Conclusion

The RBI’s consultation on AI-driven fraud prevention comes alongside its draft guidelines on customer protection in electronic banking transactions, set to take effect from July 1, 2026.

While facial recognition technology could enhance fraud detection capabilities, its adoption will depend on balancing security benefits with cost, operational readiness, and privacy safeguards.

The central bank is expected to take a final decision after reviewing feedback from banks and assessing system-wide preparedness.

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