Constrain what agents reach
Cerberus interrupts the outbound action when sensitive access, untrusted content and an exfiltration path converge — at the tool call, not the prompt.
Industry
Model risk governance already had a rulebook — agentic AI has to be brought inside it
Financial institutions were governing models before the current wave of AI, and examiners will expect the same discipline applied to systems that act autonomously.
The controls assume a human in the loop
Existing model risk frameworks were written for models that produce an output someone reviews. An agent that reads a customer record and then acts on it does not fit the validation pattern, and the examiner will still ask how it is controlled.
- Autonomy outruns validationPeriodic model validation cannot describe a system whose behavior depends on what it read this morning.
- Customer data is in the context windowAgents with legitimate access to account data are exactly the systems an injection attack targets.
- Disclosure has a clock on itMaterial incidents have to be described accurately and quickly, which requires a record that was being kept before the incident.
With Odingard, you can
Bring AI into the model inventory
TraceLock's AI inventory tracks models and AI services with the obligations attached, so governance covers the estate rather than the documented part of it.
Keep control evidence current
Connectors test the live environment on a schedule, and artifacts are recorded write-once with a SHA-256 digest.
What examiners and regulators are working from
- SEC cybersecurity disclosure rules
- Material incidents are reported on Form 8-K Item 1.05, with annual risk-management disclosure under Regulation S-K Item 106.
- SR 11-7 model risk management
- The supervisory guidance on model risk remains the reference point examiners use when AI is in a decision path.
- GLBA Safeguards Rule
- A documented information security program, with the vendor oversight that goes with it.
- DORA (Regulation (EU) 2022/2554)
- Operational resilience and ICT third-party risk obligations for EU financial entities.
What delivers it
Warden · By Odingard
Bring in Warden
Warden assesses agent readiness against your model risk framework, builds the crosswalk to your control set, and briefs the board.
Go deeper
Govern agents the way you already govern models
The framework exists. The work is extending it to systems that act without waiting for review.