Turn AI frameworks into technical controls.
Translate the EU AI Act, NIST, OWASP, ISO 42001, AIUC-1 and other leading frameworks into ready-to-run technical evaluations.
The first Magic Quadrant for AI Governance Platforms provides an independent view of one of enterprise AI's fastest-evolving markets. Discover the vendors, capabilities and market shifts shaping how organizations govern and control AI risk at scale.
Leading AI frameworks already define what organizations should govern. But static, point-in-time AI governance can't keep pace with continuously evolving AI systems. The gap is no longer understanding AI risk. The gap is how to continuously verify how AI systems actually behave and prove risk control.
The first Gartner® Magic Quadrant™ for AI Governance Platforms reflects the market's shift toward closing this gap.
In the agentic world, the gap between documented vs controlled risk is where organizations are most exposed.
Policies and frameworks define what should be governed. But they don't verify how AI systems actually behave.
Dashboards alone don't prove AI risk is under control.
Boards and regulators expect technical evidence, not assumptions or point-in-time assessments.
AI risk control isn't a single capability — it's a continuous process. Organizations need to discover every AI system, evaluate how it behaves, continuously monitor risk, and translate technical evidence into confident governance decisions. LatticeFlow AI brings these capabilities together in a single platform designed for the agentic world.
Translate the EU AI Act, NIST, OWASP, ISO 42001, AIUC-1 and other leading frameworks into ready-to-run technical evaluations.
Automatically discover AI systems across cloud, on-premises and third-party environments to establish complete visibility before risk becomes unmanaged.
Continuously evaluate AI systems with use-case-specific testing and full traceability to generate verifiable technical evidence.
Continuously identify vulnerabilities across prompt injection, data leakage and evolving attack vectors before they become business risk.
Continuously interpret AI risk and performance to deliver clear, actionable insights for executive oversight, governance and regulatory readiness.
| Traditional governance | Continuous AI Risk Control — LatticeFlow AI |
|---|---|
Traditional governance Documents AI risk. | Continuous AI Risk Control — LatticeFlow AI Continuously verifies AI risk and performance. |
Traditional governance Periodic, point-in-time assessments. | Continuous AI Risk Control — LatticeFlow AI Continuous evaluation and monitoring. |
Traditional governance Policies and frameworks alone. | Continuous AI Risk Control — LatticeFlow AI Technical controls mapped to AI frameworks. |
Traditional governance Generic benchmarks. | Continuous AI Risk Control — LatticeFlow AI Use-case-specific technical evaluations. |
Traditional governance Fragmented point solutions. | Continuous AI Risk Control — LatticeFlow AI One platform across the AI lifecycle. |
Traditional governance Compliance reporting. | Continuous AI Risk Control — LatticeFlow AI Continuous evidence for confident governance. |
See how Gartner defines the AI governance market. Understand the vendors, capabilities and trends shaping enterprise AI governance.
Benchmark your AI governance strategy. See the capabilities Gartner considers most important for governing AI at enterprise scale.
Prepare for the next phase of AI governance. Understand how AI governance is evolving as organizations adopt agentic AI.
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