# Credo AI Reviews
**Vendor:** Credo AI  
**Category:** [ AI Governance Tools](https://www.g2.com/categories/ai-governance-tools)
## About Credo AI
Credo AI is the enterprise AI governance platform for organizations that need to scale AI with control, accountability, and proof. The platform helps enterprises discover, assess, govern, and monitor AI systems across the full lifecycle — including models, applications, agents, workflows, and third-party AI vendors. Credo AI gives security, risk, compliance, legal, and AI teams a centralized system to manage inventories, map policies to regulatory and internal requirements, assess risk, and generate audit-ready evidence for oversight and reporting. Built for the operational realities of Generative and Agentic AI, Credo AI extends governance beyond static documentation into continuous oversight. Its platform includes capabilities such as GAIA for AI agent governance and assistance, AI Agent Registry for agent inventory and control, and Shadow AI Discovery to uncover unapproved AI usage and connect detection to governance workflows. Credo AI also offers Advisory Services to help enterprises design and operationalize governance programs that align with evolving policy, security, and business requirements. Credo AI was founded in 2020 and has been recognized as a Leader in The Forrester Wave™: AI Governance Solutions, Q3 2025, a Gartner Cool Vendor, Fast Company 100 awardee, and a representative vendor in Gartner market guides covering AI governance and AI TRiSM.






- [View Credo AI pricing details and edition comparison](https://www.g2.com/products/credo-ai/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-16+21%3A39%3A18+-0500&secure%5Bsession_id%5D=e9e6f585-b6c2-4340-822c-b14bb297e576&secure%5Btoken%5D=8f91cbcd1feddb09ebe26a65046580fd05dabadd582092c0352a9709d652a46d&format=llm_user)

## Credo AI Features
**AI Compliance**
- Regulatory Reporting
- Automated Compliance
- Audit Trails

**Risk Management & Monitoring**
- AI Risk Management
- Real-time Monitoring

**AI Lifecycle Management**
- Lifecycle Automation

**Access Control and Security**
- Pole-based Access Control (RBAC)

**Collaboration and Communication **
- Model Sharing and Reuse

**Agentic AI - AI Governance Tools**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making

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