Credo AI
What is Credo AI?
Credo AI is an enterprise AI governance platform for teams that need to discover AI agents, models, and applications and tie them to risk, policy, and compliance workflows. It combines AI Registry, AI Agent Registry, Shadow AI discovery, Risk Intelligence, Compliance, Runtime Governance, and the Govern AI Assistant (GAIA). Customers and partners shown include Mastercard, Booz Allen, Microsoft, Databricks, McKinsey, and Autodesk.
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At a glance
- Credo AI is best for enterprise AI teams who need continuous governance across models, agents, and applications.
- Yes — The page lists Custom APIs, Integrations, Webhooks, SDKs, and Connectors as supported third-party surfaces.
What does Credo AI do?
Credo AI handles enterprise AI governance by discovering AI agents, models, and applications, then tying them to risk, policy, and compliance workflows. Its AI Registry and Shadow AI discovery help teams find what is running across cloud environments, while Risk Intelligence and the Compliance & Policy Engine turn that inventory into actionable controls and evidence. Runtime Governance and the Govern AI Assistant (GAIA) extend oversight into ongoing monitoring, so governance is not limited to one-time reviews. At scale, the platform is built for continuous governance across agents, models, and apps, with 24/7 runtime monitoring and claims of 10x faster compliance and 60% faster reviews. Credo AI says it has 12 Forrester Perfect Scores and recognition as No. 6 in Applied AI on Fast Company's World's Most new Companies of 2026. Customers and partners shown on the site include Mastercard, Booz Allen, Microsoft, and Databricks, and the product page points to APIs, webhooks, SDKs, connectors, and integrations for connecting governance into existing workflows.
Why use Credo AI?
- Its registry and discovery approach helps teams find AI systems already in use, including shadow deployments that traditional review processes miss.
- Runtime governance keeps oversight active after approval, so controls can follow agents and models as they change in production.
- The platform connects governance to technical workflows through APIs, webhooks, SDKs, and connectors instead of forcing manual tracking.
- The product is positioned around measurable trust, which helps governance teams show evidence rather than just document intent.
Who is Credo AI for?
- AI governance leaders who need a single place to track policies, risks, and evidence.
- Compliance teams who need audit-ready workflows for AI regulations and standards.
- Security and risk teams who need visibility into shadow AI and third-party model usage.
- Platform and ML teams who need governance embedded into technical workflows.
- Procurement and vendor-risk teams who need to assess external AI providers consistently.
What are Credo AI's key features?
AI Governance Platform
Centralizes AI governance across models, apps, and agents, helping teams manage policy, risk, and oversight in one place for enterprise-scale programs.
AI Registry
Tracks AI systems and related metadata in a registry, giving teams a single inventory for discovery, review, and ongoing governance across the AI lifecycle.
Risk Intelligence
Surfaces AI risk signals and prioritizes issues in a Risk Center, helping teams focus reviews where controls and compliance gaps matter most.
Compliance
Automates compliance workflows and policy checks, with support for 12 Forrester Perfect Scores and 10x Faster Compliance to reduce manual review effort.
Runtime Governance
Applies governance controls during execution across GenAI and agentic systems, so teams can monitor behavior and enforce policy as AI runs.
Govern AI Assistant (GAIA)
Uses an assistant to answer governance questions and guide workflows, reducing the 11-20 hrs per week teams spend on manual governance tasks.
AI Agent Registry
Catalogs AI agents alongside their owners, use cases, and controls, which helps teams govern agentic AI as deployments scale beyond pilots.
Shadow AI discovery
Finds unapproved AI usage across connected systems, using connectors like Slack, GitHub, and ServiceNow to expose hidden tools and reduce unmanaged risk.
What does Credo AI integrate with?
- Microsoft Marketplace
- AWS
- Azure
- Google Cloud
- Databricks
- Snowflake
- Azure AI Foundry
- LangChain
- CrewAI
- AutoGen
- ServiceNow
- Archer
- OneTrust
- Qualys
- GitHub
- MLflow
- Jira
- Confluence
- Slack
What are Credo AI's use cases?
Governance leaders centralize oversight
AI governance leaders use Credo AI to keep policies, risks, and evidence in one place, using the AI Governance Platform and AI Registry to maintain a single source of truth. They can track what AI is in use, what controls apply, and what proof is ready when leadership asks.
Compliance teams prepare audits
Compliance teams use Credo AI to build audit-ready workflows for AI regulations and standards, using Compliance and Regulation automation to turn requirements into repeatable checks. They can reduce manual review work and produce evidence faster when internal or external audits arrive.
Risk teams uncover shadow AI
Security and risk teams use Credo AI to spot hidden AI usage across the business, using Shadow AI discovery and Risk Intelligence to surface third-party and unsanctioned model activity. That visibility helps them prioritize remediation before risky deployments spread.
Platform teams embed controls
Platform and ML teams use Credo AI to weave governance into technical delivery, using Runtime Governance and AI Governance Connectors to apply controls inside existing workflows. They can keep shipping models while making approvals, monitoring, and policy checks part of the build process.
How does Credo AI work?
- Connect your first AI systems through AI Governance Connectors, then register models, agents, and vendors in the AI Registry so every asset starts with a clear owner and purpose.
- Map policies and obligations in the Compliance & Policy Engine, and use Regulation automation to translate standards into reusable checks, evidence requests, and approval steps.
- Review exposure in Risk Center and Risk Intelligence, then use Shadow AI discovery to find unsanctioned tools or third-party usage that needs follow-up.
- Apply Runtime Governance to enforce controls during development and deployment, and use Governance Knowledge Graph to connect systems, policies, and evidence across teams.
- Monitor ongoing status in the AI Governance Platform and ask Govern AI Assistant (GAIA) for summaries, so governance teams can answer questions and prepare reviews faster.
Frequently asked questions
What is Credo AI?
Credo AI is an enterprise AI governance platform for teams that need to discover AI agents, models, and applications and tie them to risk, policy, and compliance workflows. It combines AI Registry, Shadow AI discovery, Risk Intelligence, Compliance, Runtime Governance, and the Govern AI Assistant (GAIA). Customers and partners shown include Mastercard, Booz Allen, Microsoft, and Databricks.
What is Credo AI used for? Who is it for?
Credo AI is used for AI Governance Platform, AI Registry, and Risk Intelligence. It's built for AI governance leaders, Compliance teams, and Security and risk teams.
Does Credo AI have an API and what does it integrate with?
The page lists Custom APIs, Integrations, Webhooks, SDKs, and Connectors as supported third-party surfaces. It integrates with Microsoft Marketplace, AWS, Azure, Google Cloud, Databricks, and 14 more.
Editor's read
Check whether your governance workflow depends on the listed APIs, webhooks, SDKs, or connectors before rollout. The site shows these surfaces, but you should verify which ones are available in your implementation path and how they map to existing systems.
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