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AI governance decisions

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.

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The AI Risk Control Gap

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.

Most AI governance documents risk.
It doesn't control it

In the agentic world, the gap between documented vs controlled risk is where organizations are most exposed.

Checklists document exposure. They do not reduce it.

Policies and frameworks define what should be governed. But they don't verify how AI systems actually behave.

Dashboards track process maturity, not AI behavior.

Dashboards alone don't prove AI risk is under control.

Regulatory compliance is a starting point, not a guarantee.

Boards and regulators expect technical evidence, not assumptions or point-in-time assessments.

MENTIONED IN THE 2026 GARTNER® MAGIC QUADRANT™ | LATTICEFLOW AI

Close the Gap.
Stay in Control of AI Risk

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.

Turn AI frameworks into technical controls. - Atlas AI Icon
Atlas

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.

Know what AI you need to govern. - Discover AI Icon
Discover

Know what AI you need to govern.

Automatically discover AI systems across cloud, on-premises and third-party environments to establish complete visibility before risk becomes unmanaged.

Prove AI risk and performance. - Evaluate AI Icon
Evaluate

Prove AI risk and performance.

Continuously evaluate AI systems with use-case-specific testing and full traceability to generate verifiable technical evidence.

Stay ahead of emerging AI threats. - Secure AI Icon
Secure

Stay ahead of emerging AI threats.

Continuously identify vulnerabilities across prompt injection, data leakage and evolving attack vectors before they become business risk.

Turn technical evidence into confident decisions. - Govern AI Icon
Govern

Turn technical evidence into confident decisions.

Continuously interpret AI risk and performance to deliver clear, actionable insights for executive oversight, governance and regulatory readiness.

Built for agentic AI

Traditional governanceContinuous 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.

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Get your complimentary copy of the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms.

Discover Gartner's independent perspective on the market shaping the future of enterprise AI governance — and the strategic shifts every AI executive should understand.

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