Governance, Risk & Compliance
Credo AI Governance Platform
Inventory, assess, and govern every AI system for enterprise risk and regulatory compliance.
Credo AI Governance Platform Overview
What it does
Credo AI Governance Platform is an enterprise system for governing artificial intelligence across its lifecycle. It gives risk, compliance, security, and data science teams a single place to discover the AI systems an organization builds and uses, assess them for risk, and enforce governance policies before and after deployment. The platform is built specifically for AI governance rather than adapted from a general-purpose GRC tool.
How it works
The platform pairs an AI Registry that catalogs every model, application, and agent, including shadow AI, with Risk Intelligence that continuously assesses each system for bias, security, privacy, and compliance risk. A Policy Engine turns regulations and internal standards into automated workflows and approvals using pre-built policy packs for frameworks such as the EU AI Act, NIST AI RMF, and ISO 42001. Runtime governance evaluates agent and model behavior in production to catch policy violations, drift, and unsafe activity, while the GAIA governance agents automate evidence retrieval, risk assessment, and incident response.
Credentials and traction
SOC 2 certified. Credo AI was named a Leader in The Forrester Wave: AI Governance Solutions, Q3 2025, earning top scores across criteria including AI policy management, regulatory compliance audit, and adoption. It was also recognized as a Representative Vendor in the 2025 Gartner Market Guide for AI Governance Platforms and a Gartner Cool Vendor in AI Cybersecurity Governance in 2025, and named to Fast Company's Most Innovative Companies of 2026. Named customers include Mastercard, PepsiCo, and Booz Allen Hamilton across regulated enterprise and public-sector teams.
Key Capabilities
mapped to solution categoriesProvides comprehensive audit trails of platform actions and activities across the AI life cycle.
Monitors and diagnoses the performance and behavior of AI models, applications and agents in production, including explainability.
Captures and tracks the data used by AI entities over time, including training-data provenance and lineage via data governance integration.
Classifies, assesses and mitigates AI-specific risks such as bias and robustness, with content libraries for regulations and frameworks including the EU AI Act, NIST AI RMF and ISO 42001.
Generates standardized documentation such as model cards and datasheets for auditors and regulators.
Enforces AI policies at runtime through guardrails, access controls and use-case validation, with remediation recommendations and compliance reporting.
Documents trust, risk and security assessments, testing and validation results, and remediation evidence for AI systems.
Maintains a centralized, discoverable registry of all AI use cases, applications, agents and models with metadata, ownership and deployment status.
Automates AI use-case intake, risk and security assessment, sign-off, attestation and approval workflows.
Connects across the AI and data stack, including data governance, model observability, AI discovery and AI security tools.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on June 30, 2026
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