Enterprises are deploying agents, models, and applications at unprecedented speed – and agents now act autonomously, in milliseconds, thousands of times an hour. Governance is still manual, fragmented, and stuck in spreadsheets. You cannot govern a system that acts in milliseconds with a monthly audit.
Credo AI pioneered contextual, continuous, comprehensive AI governance and is now defining Agent Governance: registry for every agent, purpose-built agentic risk and controls, and governance that reaches into runtime. For agents, models, and applications with policy packs containing regulatory intelligence for every major AI standard, policy and regulation, integrated with the systems you already use.
Agents, applications, models, and vendors from pilot to production – with native integrations across your existing stack. And with GAIA (Govern AI Assistant), generally available in the platform today, weeks of governance work compress into hours.

Discover and catalog every AI system, agent, vendor and model. Full visibility into shadow AI.

Continuous, contextual risk assessment, including a purpose-built agentic risk and control library for tool misuse, scope drift, and inter-agent risk.

Turn policy into code: pre-built policy packs with regulatory intelligence, automated workflows, and audit-ready evidence – for AI and for agents.
We didn't bolt AI features onto a GRC tool. We built the platform for Measurable Trust from scratch – and it shows.
Model-level, application-level, and agent-level governance in one platform – with agents as first-class governed entities: registered, risk-assessed, sanctioned, and governed into runtime
Security tools watch agents but can't sanction them. GRC tools document AI but can't see agents at all.
Governance across the entire lifecycle – design, development, and production – with runtime evidence flowing back through your monitoring and security stack. You cannot govern millisecond decisions with a monthly audit. We don't.
Snapshot compliance – already outdated by deployment.
World governance intelligence – regulations, third-party risk, model trust scores – built and updated by agents, validated by human experts, and fused with your business context from 300+ integrations and forward-deployed governance experts. A claims agent in EU insurance gets different controls than a marketing agent in US retail. Automatically.
Generic checklists with no awareness of your context.
Ready-to-deploy policy packs for EU AI Act, NIST AI RMF, ISO 42001, and beyond — written by the team in the room where AI governance standards are made: ISO, NIST, the EU Parliament, NATO, OECD.
Manual policy mapping, months of work.
One platform to govern every AI system — from pilot to production — with native integrations across your existing stack.
Every platform shift produces its trust layer. Cloud had security. Data had governance. AI has Credo AI and enterprises across insurance, financial services, federal, and healthcare are already scaling on it.

