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The 2026 Gartner Magic Quadrant Report

AI Governance finally has a Magic Quadrant.

Credo AI named a Visionary in the inaugural Gartner® Magic Quadrant™ for AI Governance Platforms. We believe this validates what we have argued from day one: governing AI is a discipline of its own.
AI Governance has its moment

A category we have
believed in from the start.

Gartner publishes a Magic Quadrant as a culmination of research into a mature market; in other words, in our estimation, when a market becomes essential enterprise infrastructure. We see this inaugural Magic Quadrant for AI Governance Platforms as the clearest signal yet that AI governance has graduated from principle to practice, and that organizations now need a dedicated platform to define, approve, and enforce responsible-AI policy across every model, application, and agent.

2027

“By 2027, AI governance will become a requirement of all sovereign AI laws and regulations worldwide.”

Gartner
75%

“By 2027, AI governance and responsible-AI capabilities will be part of 75% of AI platforms, making them the main area of competition.”

Gartner
100+

Gartner “identified more than 100 vendors marketing AI governance capabilities.”

Gartner
Our point of view

AI governance and AI security are
not the same discipline

They are complementary, but they answer different questions, serve different owners, and demand different platforms. Credo AI is built, deliberately, to be the Trust Layer for Enterprise AI, and to interoperate cleanly with the security stack rather than absorb it.
AI Governance

Is the AI we run responsible, compliant, and accountable?

Owned by AI governance leaders, Chief AI & Data Officers, risk and compliance
Centralized inventory of every model, app, and agent
Policy, regulation, and framework mapping (EU AI Act, NIST AI RMF, ISO 42001)
Generates evidence through risk scoring, approvals, evidence, and audit-ready reporting
Controls agents through discovery, policy configuration, inheritance across agent hierarchies, and traceable accountability chains
Answers to the board, regulators, and auditors
AI Security

Is the AI we run protected from attack and misuse?

Owned by security engineering and SecOps teams
Threat detection, prompt-injection and jailbreak defense
Runtime traffic inspection and model-layer protection
Vulnerability management and incident response
Answers to the SOC and the CISO's technical controls

A great governance platform should orchestrate the security signals it needs, not pretend to be a security tool. Conflating the two leaves enterprises with a platform that does neither job completely. Security stops attackers from making your agent do the wrong thing. Governance ensures your agent was never supposed to do the wrong thing in the first place and proves it.

Our approach to AI governance

The Platform and Experts Behind Trusted AI

Platform

Purpose-built AI governance platform powered by a Knowledge Graph that unifies business context with AI regulatory and AI risk intelligence. Policy-to-code governance enables trusted AI transformation across highly regulated enterprises.

Knowledge Graph

Our knowledge graph is updated by agents, enriched with global regulatory intelligence and curated business context, supported by Forward-Deployed AI Governance Experts, giving enterprises a clear view of the risk profile behind every AI system.

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Get the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms.

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Gartner, Magic Quadrant for AI Governance Platforms, Lauren Kornutick, Sumit Agarwal, Priya Sundararaman, Nader Henein, Brandon Medford, 16 June 2026.

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