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Credo AI – AI Governance Platform

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Credo AI’s AI Governance Platform delivers enterprise-grade, continuous, and contextual governance for AI agents, models, and applications. Purpose-built for Measurable Trust, the platform catalogs AI systems with an AI Registry…

Independently listed · not pay-to-rankVerified vendor site: credo.aiListing updated Sep 6, 2026

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PricingNot provided
DeploymentNot specified
SupportNot specified
Compliance
SOC 2 Type IIGDPR
AI/model discovery & inventory Yes
Red teaming & adversarial testing Not stated
Guardrails & policy enforcement Yes
Continuous monitoring & drift detection Yes
Compliance & audit reporting Yes
Agent & MCP security Not stated
Risk assessment & scoring Yes

Credo AI’s AI Governance Platform delivers enterprise-grade, continuous, and contextual governance for AI agents, models, and applications. Purpose-built for Measurable Trust, the platform catalogs AI systems with an AI Registry (including shadow AI detection, auto-discovery, risk classification, and stakeholder mapping) and performs continuous Risk Intelligence assessments for bias, security, privacy, and compliance. It supports automated red‑teaming, drift detection, and real-time alerts to surface emerging risks — not just point-in-time snapshots. The Policy Engine enforces governance with pre-built policy packs mapped to major regulatory frameworks, custom guardrails, automated workflows, and audit-ready evidence generation. GAIA (Govern AI Assistant) extends governance across multiple layers — model, agent, application, and network — enabling runtime action enforcement and pre-deployment testing. Credo AI integrates with existing enterprise stacks to centralize AI oversight and accelerate compliance, and is positioned as a leader by Forrester and recognized by Fast Company. The platform is designed for regulated industries and large enterprises seeking to scale AI responsibly while reducing manual governance effort and producing audit artifacts for regulatory and internal reviewers.

Capabilities

AI Registry (shadow AI detection, auto-discovery)
Risk classification and stakeholder mapping
Continuous monitoring and drift detection
Automated red‑teaming
Real-time alerts and evidence generation
Policy Engine with pre-built policy packs
Compliance mapping and audit-ready documentation
Custom guardrails and automated workflows
GAIA: multi-layer governance (Model, Agent, Application, Network)
Integrations with Snowflake, Databricks, AWS, Azure, ServiceNow, Jira, Confluence, Slack, GitHub, MLflow

Integrations

The platform provides native integrations with major enterprise systems to centralize governance workflows. Supported integrations include Snowflake, Databricks, AWS, Azure, ServiceNow, Jira, Confluence, Slack, GitHub, and MLflow, enabling automated evidence collection, developer workflows, and operational monitoring across your existing stack.

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