From AI frameworks to verifiable evidence, in just minutes
20+ governance frameworks, 100+ ready-to-run evaluations, packaged for EU AI Act, OWASP, FINMA, NIST, ISO 42001, and more. Skip weeks of manual evaluation builds.
Download the first
Gartner® Magic Quadrant™
for AI Governance Platforms
We are recognized in it. Our take: AI risk in the agentic world cannot be controlled with frameworks and dashboards alone. It requires verifiable technical evidence of how your AI systems actually behave.
An independent assessment of the AI governance platform market and its recognized vendors.
Evaluation criteria shaping enterprise AI governance platform decisions in 2026.
Our perspective on what separates genuine AI risk control from compliance documentation.
RECOGNIZED IN THE 2026 GARTNER® MAGIC QUADRANT™ | LATTICEFLOW AI
Control AI Risk in the Agentic World
A single platform for continuous monitoring and risk interpretation — through integrated discovery, evaluations, and security testing.
Know every AI system before you govern it.
Automatically map models, endpoints, data sources, and configurations across cloud, on-prem, and third-party ecosystems. Full visibility into every AI asset, wherever it lives. Feed real architecture into evaluations for sharper risk control.
Frameworks define requirements. We run the tests.
Use-case-specific evaluations with domain metrics and generated datasets, not generic benchmarks. Battle-tested execution engine with full traceability. Audit-ready evidence mapped to EU AI Act, NIST RMF, FINMA, ISO 42001, and more.
Red-team your AI before attackers do.
An adaptive red-teaming agent probes your AI systems across attack vectors — prompt injection, data leakage, privilege abuse, goal hijacking, denial-of-wallet — and evolves its approach based on what it finds. System-level checks catch configuration gaps and missing access controls.
Continuous evidence. Board-ready control.
Connect to your live systems and data for continuous monitoring. Link interpretation rules to evaluation metrics and automate expert insights into GRC and governance dashboards. Clear, actionable evidence, ready for decision-making and for compliance committees, regulators, and executives.
Platform Capabilities
| Other tools | LatticeFlow AI |
|---|---|
Other tools Generic open-source benchmarks. | LatticeFlow AI Evaluations tailored to your use case. |
Other tools Fragmented point tools. | LatticeFlow AI Pre-launch testing AND production monitoring. |
Other tools Disconnected coverage across cloud, on-prem, and third-party AI assets. | LatticeFlow AI All AI assets connected in one process — cloud, on-prem, and third-party. |
Other tools Retrofitted from simple benchmarks. | LatticeFlow AI Built for complex, ever-evolving agentic AI. |
Other tools Weeks of manual build. | LatticeFlow AI 100+ ready-to-run evaluations — live in days. |
Other tools Eval results disconnected from policies. | LatticeFlow AI Audit-ready evidence mapped to 20+ frameworks (EU AI Act, NIST, ISO, OWASP...). |
Most AI Governance Doesn't Control Risk.
It Documents It.
AI governance frameworks exist. AI governance tools exist. And yet AI risk is still not under control. Here is why:
Checklists document exposure. They do not reduce it
Static frameworks and periodic reviews cannot track how agentic AI systems change in production.
Dashboards track process maturity, not AI behavior
Risk ratings reflect how good your governance workflows are, not whether your AI systems are performing safely under real conditions.
Regulatory compliance is a starting point, not a guarantee
Meeting EU AI Act or ISO 42001 static requirements does not mean your AI systems behave as expected when deployed in production at scale.
Boards demand verifiable evidence on AI safety and performance
Without verifiable technical evidence, AI oversight remains a governance exercise. Not a control function.
Ready to See Where the Market Stands?
Download the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms — compliments of LatticeFlow AI.
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