Choose by the work you need done
A policy workflow, an AIMS workspace and a validation engine solve different parts of AI governance. Each platform sits in the group that matches its main focus; many cover more than one.
AI governance
23 platformsStart here for a central registry, policy ownership, risk reviews and approval workflows across enterprise AI. Ask how the registry stays current and how a changed model triggers a new review.
GRC & AIMS
11 platformsStart here when your immediate work is an AI management system: policies, risk and impact reviews, control ownership, evidence and audits alongside existing compliance programs.
Model assurance
9 platformsStart here for model validation, evaluation, monitoring or explainability. Check how technical findings become documented governance decisions and whether you also need a program-level registry.
Data & privacy
7 platformsStart here when AI risk depends on which data a system accesses, how it uses that data and how privacy permissions apply. Ask for a trace from the AI system to data flows and policy decisions.