RBI Warns Banks Against Over-Reliance on Common Cloud and AI Vendors, Citing Systemic Contagion Risks — September 10, 2026

The Reserve Bank of India (RBI) has issued a stern cautionary message to banks and financial institutions over their escalating reliance on third-party technology and cloud infrastructure providers. Delivering an address at the Global FinTech Fest in Mumbai, RBI Deputy Governor Rohit Jain highlighted that while digital adoption drives efficiency and financial inclusion, shifting mission-critical functions to a concentrated set of external vendors creates severe systemic vulnerabilities.

Jain made it clear that lenders cannot evade operational and governance obligations when leveraging third-party technology. “An institution may outsource the computation, but it cannot outsource the consequence,” he said, underscoring that institutional accountability remains entirely with the regulated entity.

The Threat of Common Dependencies

A key concern raised by the central bank is vendor concentration. As financial institutions migrate workloads to external platforms, they increasingly depend on a relatively small group of hyperscale cloud providers, enterprise tech platforms, and specialised artificial intelligence (AI) model developers.

Traditionally, operational or technical glitches remained confined to a single lender. However, when multiple banks run core infrastructure on shared cloud architectures or draw on overlapping datasets and third-party models, an outage or technical failure at a single vendor can instantly cascade across the entire banking system. Jain noted that the central issue is not merely the failure of an individual institution, but the reality that a common dependency can transmit disruption or error simultaneously across numerous institutions.

Three Emerging Tech Risks Flagged by RBI

The RBI identified three core risks that are amplified as advanced technologies become deeply embedded within the financial sector:

• Concentration: Dependence on a narrow cluster of third-party vendors, shared infrastructure, and common algorithmic models that amplifies single-point-of-failure and contagion risks.
• Speed: Automated systems and digital agents that compress reaction times, causing errors, liquidity movements, or operational shocks to spread instantaneously across platforms.
• Opacity: Complex and proprietary "black box" models that make decision-making hard to explain, inspect, or audit.

Addressing the opacity problem in automated credit underwriting and algorithmic decision-making, Jain asserted that banks cannot hide behind automated algorithms: “A customer affected by an important financial decision deserves something more meaningful than being told that the model said so.”

Technology Does Not Eliminate Fundamental Risk

The central bank reiterated that modern digital tools and AI do not eradicate fundamental banking risks. Instead, they alter the speed, scale, and channels through which traditional risks manifest.

“Borrowers can still default, liquidity can still disappear, leverage can still magnify losses, and operational failures can still disrupt financial services,” Jain warned. He further flagged emerging frontiers like quantum computing, which pose long-term security implications for current cryptographic systems protecting financial transactions.

Jain stated that regulatory scrutiny will follow a principle of proportionality. Internal administrative tools, such as AI document summarisation, will not face the same scrutiny as autonomous systems that execute fund transfers, manage balance-sheet liquidity, or approve credit lines. The greater the operational consequence of a system, the higher the central bank's expectations for board oversight, vendor auditing, and manual intervention mechanisms.

Tags: Reserve Bank of India Indian Banking Sector Cloud Computing Artificial Intelligence Rohit Jain Global FinTech Fest