Industries

AI Your Regulators and Your Customers Can Trust

GLBA and the Safeguards Rule, FFIEC guidance, NYDFS 23 NYCRR 500, SOX IT general controls, SEC cyber-disclosure obligations, PCI DSS, SOC 2, extended to cover the models now making and supporting decisions inside your business.

GLBA SAFEGUARDSFFIECNYDFS 500SOX ITGCSEC DISCLOSUREPCI DSSSOC 2ISO/IEC 42001
CONTROL MAP, AI EXTENSIONCLIENT REDACTED
Existing frameworkThe AI obligation that extends itEvidence produced
SOC 2Access review extended to model, agent and API credentialsQuarterly review record naming the AI systems in scope
HITRUST CSFVendor AI features assessed before regulated data reaches themThird-party AI assessment per vendor, with a named owner
HIPAARisk analysis covering PHI an AI system processesDocumented risk analysis with the AI data flow attached
NIST CSFDetection and response extended to prompt, output and agent activityLogging standard, plus one AI-scenario tabletop record
GLBA Safeguards RuleBoard reporting that names AI risk and who owns itAnnual report section with the AI inventory as an exhibit
Composite example. The obligation is new; most of the control environment is not. Scrolls sideways on a narrow screen.

The reality

Overlapping Supervisors, and Examiners Who Ask for Evidence

Few industries carry this much overlapping obligation: a prudential expectation here, a state cybersecurity rule there, a disclosure requirement for public filers, a card-brand standard, and a customer assurance framework on top. The obligations rarely conflict, but they each want their own evidence, and an examiner’s request is not the moment to start assembling it.

One advantage worth naming: model risk governance was a discipline in this industry before anyone called it AI governance. The vocabulary is already yours, inventory, validation, monitoring, challenge. What’s new is the range of models and how quickly they arrived.

The tension

Consequential Decisions, at Machine Speed, with a Paper Trail Expected

Where a model touches credit, pricing, eligibility, fraud, or servicing, the questions are familiar and sharper: what does it use, how was it validated, who reviews the outcome, how do you detect disparate impact, and can a customer get an explanation. Generative systems complicate it further, a summarizer that shapes an adviser’s recommendation is in the decision path even though nobody classified it as a model.

How we help

Extend the Governance You Already Have

AI Inventory and Risk Tiering

Including the generative tools that didn’t come through model risk, and the AI features inside vendor platforms.

Framework Extension

ISO/IEC 42001 and NIST AI RMF mapped onto your existing GLBA, FFIEC, NYDFS, and SOX control environment rather than beside it.

Model Governance Support

Validation expectations, monitoring, challenge, and documentation for a broader class of models than your framework was written for.

Third-Party AI Oversight

Diligence and contract terms for vendors whose AI now processes your customers’ data.

Security and Assurance

vCISO leadership, testing, SOC 2 and PCI DSS programs, and examiner-ready evidence.

Proof

Regulated, Examined, Documented

a decade advising cyber insurance carriers and underwriters, useful on both sides of a financial institution’s own insurance renewal.

privacy and breach-response provider

FISMA System Security Plan

A federally required SSP with stringent standards. We identified risks, designed the controls, and produced a compliant plan the client could stand behind.

insurance claims provider

Multi-Business-Unit HIPAA Risk Assessment

Data flow mapping, boundary definition, and a gap assessment across a shared-services structure.

Governance Your Examiner Will Recognize