The increasing reliance on automated interactions with customers across banks and retailers is now being matched by a change in supervisory expectations, a change that places continuous oversight at the center of financial operations.
Compliance is no longer defined by periodic reviews, and will increasingly be treated as an ongoing function embedded in systems associated with risk assessment and transaction execution.
Recent guidance from the Office of the Comptroller of the Currency (Orient), Federal Deposit Insurance Corporation (Federal Deposit Insurance Corporation (FDIC).) and Federal Reserve Reflects evolution. this week, Agencies issued Revised interagency model risk management guidance that emphasizes ongoing validation and governance controls associated with the scale and complexity of model use.
The updated framework addresses third-party tools and vendor-provided templates, whereby banks must validate and monitor external dependencies alongside internal dependencies.
Interconnected risks
Regulators are increasingly focusing on the common infrastructure underpinning modern financial services. AI models, cloud providers, and third-party data services can be viewed as interconnected risk channels rather than separate operational components.
Elsewhere, the US Treasury Released new AI Risk Management Resources designed to standardize terminology and enhance oversight as financial institutions expand the use of AI across customer service, underwriting, and operational processes.
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In parallel, supervisory expectations increasingly require organizations to map dependencies across these systems. This includes understanding the concentration risks associated with a limited number of cloud providers or models, and ensuring that these dependencies are subject to continuous monitoring rather than static vendor reviews.
This approach builds on existing third-party risk frameworks but expands them to include real-time oversight.
A bank’s customer service platform, whether in the contact center or the digital interface, is an integral part of a broader risk network that must be observable and auditable at all times. The movement is moving toward accountability that can be tracked at the decision level, where organizations must demonstrate how specific deliverables are created, validated, and managed within automated systems.
Frames multiply
Structural change in compliance is also evident in the increasing specificity of regulatory frameworks. Treasury-linked AI guidance provides detailed control structures that can include hundreds of control objectives mapped across risk categories and lifecycle stages.
At the same time, anti-money laundering expectations are being recalibrated. While formal rulemaking continues to evolve, the supervisory trend embraces risk-based programs that demonstrate their effectiveness through results rather than adherence to fixed procedures.
This trend is reflected in recent interagency efforts associated with risk modeling, the Bank Secrecy Act, and anti-money laundering regulations, where regulators are emphasizing verification, monitoring, and governance over time, especially when automated models or systems are used to detect suspicious activity.
Identity signals, transaction context, and behavioral indicators should flow across platforms without delay. The renewed focus described above places new weight on infrastructure.
APIs, interoperable data layers, and identity frameworks have become essential not only for customer experience but also for supervisory visibility. The fragmented system cannot support the level of transparency that is now expected.
Old architecture is a hindrance. Modern PYMNTS Intelligence ReportIn cooperation with TrollioIt highlights how identity has become a central pressure point in this shift towards constant surveillance.
Financial institutions derive approximately 76% of their revenue from digital channels, yet nearly 75% report inconsistent identity verification results, leading to operational friction and regulatory exposure. The report finds that 76% of businesses miss growth opportunities due to Know Your Customer (KYC) and Know Your Business (KYB) restrictions, while identity failure generates annual losses estimated at $34 billion.
At the same time, reliance on a focused group of technology providers raises additional concerns. Regulators have begun to address the risks of technology concentration with greater precision, recognizing that shared infrastructure can transmit disruption across organizations.
