Close the GenAI governance gap
SR 26-2 left open.
SR 26-2 explicitly excludes generative AI from model risk guidance. The gap does not disappear — your bank simply owns it. SocioProphet is how you close it.
Your AI adoption is already happening — without you
Your portfolio managers are already using ChatGPT. SR 26-2 carved generative AI out of model risk guidance, so there is no supervisory playbook telling you how to govern it. When your examiner asks you to replay an AI-assisted decision — can you?
The carve-out is not permission. It is exposure. The institution carries the governance burden whether or not the guidance names it.
“SR 26-2 explicitly excludes generative AI from model risk guidance.Your bank owns the governance gap.”
A governed AI capability your examiner can interrogate
Deploy a governed AI capability inside your private cloud — local by default, with hosted models an option you switch on, not a condition of use.
Capture a cryptographically signed, replayable record of every AI-assisted decision.
Map AI usage to your existing model risk management framework, even where SR 26-2 is silent.
Give examiners a complete provenance trail: what was retrieved, inferred, and stated — and how certain the system was.
What you can now prove to a regulator
- Replay any AI-assisted decision exactly as it occurred, months later.
- Show which source documents grounded each output, with signatures intact.
- Show which models each output used, and where it ran.
A 60-day SR 26-2 readiness sprint
Discovery
Map your highest-risk GenAI usage and governance gaps against SR 26-2.
Deploy
Install the governed control plane inside your environment, evidenced from day one.
Validate
Run a mock examination: replay decisions and produce the evidence pack.
The platform pieces that make this work
Close the gap before your next examination.
Start a 60-day SR 26-2 readiness sprint with our engineering and deployment team.
Request an SR 26-2 Briefing