Agentic Governance™ with Authority Finality™ for AI trading-bot model risk.
Every AI trading-bot decision — model deployment, parameter change, kill-switch invocation, override — mapped to a named model owner, bound to the SR 11-7 / PRA SS1/23 model-risk principle it discharges, and signed into an Evidence Pack™. The Trading-Bot Model-Risk Authority Pack™ is the KYE Sector Pack Foundry™ productisation that lands Agentic Governance™ — every act has authority, every authority has finality — inside SR 11-7 + EBA + PRA SS1/23-regulated firms.
SR 11-7 + EBA model governance + PRA SS1/23 — model risk management for AI trading bots.
AI trading bots are models under the model-risk frameworks: independent validation, ongoing monitoring, override governance, and kill-switch authority. Every trading-bot decision needs a named model owner and signed, replay-derivable evidence per intervention.
Better evidence than reconstructed logs — signed at the moment, derivable from public keys alone.
The dominant evidence today is after-the-fact reconstruction. A KYE Protocol™ Evidence Pack™ plus Authority Finality™ outcome bound to the named control owner, the obligation discharged, and the delegation chain is materially better evidence: signed at the moment of the decision and Replay-Proof™ against the published JWKS a regulator can verify offline.
An 8-step pipeline — from AI decision to board / compliance view.
The Pack rides the canonical productisation shape: rule pack, dictionary, sector pack, obligation manifest, expert-pack envelope, coverage attestation, SKU row, and this marketing surface. No Foundry-specific framework shape; the protocol evidence layer underneath is identical to every other Pack.
Bound to the canonical SR 11-7 + EBA + PRA SS1/23 perimeter.
- Federal Reserve SR 11-7 §V (model validation)
- SR 11-7 §VI (governance, policies, controls)
- EBA model-governance guidelines
- PRA SS1/23 (model risk management principles)
Regulator of record: Federal Reserve / EBA / PRA.