Track the AI you are building, buying, and using in a centralized source of truth, and see relevant risk recommendations based on where and how each AI system will be used.
Define risk-mitigating requirements for each AI system based on deployment context — like laws, regulations, standards, and best practices.
Check whether controls are being met based on evidence pulled from your technical AI infrastructure, including technical assessments, documentation, and attestations.
If the AI System isn’t meeting all of your requirements, define and assign mitigations to relevant stakeholders.
Track changes to laws and regulations or to your AI system, and continuously check for compliance. Generate audit-ready artifacts for stakeholders.