Rate your AI risk maturity across 8 domains.
MAS MindForge / Veritas FEAT aligned. Pick Level 1 (Initial) to Level 5 (Optimising) for each domain.
Bias testing across protected attributes performed at model design AND post-deployment.
Documented ethical AI policy with C-suite ownership and ethics review board for high-impact use-cases.
Clear ownership of every AI system across business owner, model owner, validator and challenger lines.
Model cards, dataset cards and explainability layer (e.g. SHAP) available for customer-facing decisions.
End-to-end data lineage and quality KPIs monitored across feature stores.
MRM framework (SR 11-7 / OCC 2011-12 style) with validation cadence, performance monitoring, drift alerts.
Adversarial robustness testing, prompt-injection defences for LLMs, model artefact protection.
Vendor AI due-diligence questionnaire, contractual right-to-audit, exit strategy for foundation model providers.