Banking Trends 2027: Evidence, AI and Resilience

Which Banks These 2027 Banking Trends Cover

The priorities apply to US banks supervised by the OCC, the Federal Reserve and the FDIC, agencies that spent 2026 moving examination attention toward material financial risk.

The Federal Reserve expects its April 2026 model risk guidance to be most relevant to banking organizations with more than $30 billion in total assets. The 2020 interagency operational resilience paper is written for firms with at least $250 billion in assets, or $100 billion with $75 billion in specified risk indicators.

Evidence an Examiner Can Test

Examination evidence is a linked chain of records: the risk, the control that addresses it, the test of that control, any issue the test raised, and the remediation and its validation. Each link carries an owner, a date and the policy version in force, which turns compliance documentation into a record an examiner can re-perform.

Two changes narrow the grounds for matters requiring attention (MRAs):

• Under the Federal Reserve’s operating principles of 24 September 2026, a deficiency the bank self-identifies and promptly remediates “will presumptively be treated as giving rise to a supervisory observation rather than an MRA or MRIA,” and examiners rely on satisfactory internal audit validation of the fix.
• The OCC and FDIC rule effective 2 November 2026 limits MRAs to practices that could reasonably be expected to materially harm a bank’s financial condition or present a material risk of loss to the Deposit Insurance Fund, plus certain violations of law.

A record that ties each control to financial risk and shows findings closed with audit validation is the core of examination preparation under both standards.

AI Governance After SR 26-2

On 17 April 2026 the Federal Reserve, OCC and FDIC replaced SR 11-7, the Federal Reserve’s 2011 model risk guidance, with revised guidance issued as SR 26-2, OCC Bulletin 2026-13 and FDIC FIL-15-2026.

It covers traditional statistical and quantitative models and AI that is neither generative nor agentic. A footnote puts generative and agentic AI out of scope as “novel and rapidly evolving.”

AI governance in banking now runs on two tracks:

• In-scope models follow the revised guidance, scaled to materiality.
• Generative and agentic tools fall to the bank’s broader risk management and, when a vendor supplies them, to the 2023 interagency third-party guidance (still in effect while its replacement is proposed).

Holding both tracks in one inventory gives the board a single view of AI use against US bank AI regulations. The OCC’s Spring 2026 Semiannual Risk Perspective ties cyber risk management to an understanding of increasingly advanced AI tools.

Operational Resilience: Critical Operations, Third Parties and Cyber

The interagency Sound Practices to Strengthen Operational Resilience, issued in November 2020, was revised on 2 June 2026 to remove references to reputational risk. It covers:

• Governance
• Operational risk management
• Business continuity
• Third-party risk
• Scenario analysis
• Secure information systems
• Surveillance and reporting

Each firm identifies its critical operations and sets a tolerance for disruption from its risk appetite.

Two cyber obligations apply to every bank:

• Under 12 CFR part 53 and its Federal Reserve and FDIC counterparts, a bank notifies its regulator no later than 36 hours after determining that a notification incident has occurred.
• A bank service provider notifies its bank customers as soon as possible after an incident that disrupts covered services for four or more hours.

The proposed interagency third-party guidance, published in the Federal Register on 15 September 2026, adds an operational resilience planning section on backup providers, data backups and resuming operations, extending an existing operational resilience framework.

2027 Timeline: What Is Known

These banking trends rest on dated agency actions, and several items that shape 2027 plans are still open.

Applying the Predict360 Data Intelligence Layer

The Predict360 Data Intelligence Layer connects structured data and documents in a shared banking model covering customers, deposits, transactions, loans, collateral, partners, risks and controls.

It traces derived findings through their source data and transformations and retains the history needed to examine what was known at a past point in time. It also connects contractual obligations to related risks and controls, identifying obligations that lack a mapped control.

Frequently Asked Questions