Role Overview
Risk functions are being asked to extend their frameworks to cover AI: model risk, third-party risk, operational risk, conduct risk, and emerging regulatory risk — all at once.
Primary AI Governance Challenges
- Extending MRM to generative and embedded AI
- Third-party AI risk at scale
- Aggregating AI risk into the ERM view
- Quantifying AI exposure
- Supporting regulator and board reporting
Common Risks
- MRM findings and supervisory criticism
- Vendor concentration in AI providers
- Operational losses from AI errors
- Conduct and fairness risk
- Unreported aggregate AI exposure
Questions Leaders Should Ask
Is AI in the risk taxonomy? Are AI models inventoried and validated? Are third-party AI risks rated and monitored? Can we report aggregate AI risk to the board today?
How Clariantix Helps
The Clariantix AI Trust Assessment™ evaluates governance maturity, security posture, data protection, regulatory readiness, vendor risk, monitoring capability, and responsible-AI practices — producing an executive-ready briefing, risk register, compliance gap analysis, and remediation roadmap tailored to this role.