LatticeFlow AI at the 2025 Gartner® Market Guide for AI Governance Platforms. Read more.

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Start Your AI Governance Journey

From GenAI risks to third-party systems, LatticeFlow AI connects governance frameworks with the deepest technical controls, producing audit-ready evidence you can trust for compliance, risk, and board-level decisions.

Third-Party AI Risk Assessment

Identify and address hidden risks in external AI systems before deployment. Ensure vendor-provided models meet your organization’s standards for performance, security, and compliance, reducing exposure to operational and regulatory risks. Watch a case study.

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EU AI Act Compliance

Get the risk frameworks and technical evidence you need to demonstrate compliance with the EU AI Act. Building on our leadership with COMPL-AI, we help you to ensure your AI systems are compliant with the EU regulation. Learn more about COMPL-AI.

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GenAI Risk
Assessment

Ensure your GenAI chatbot is reliable, compliant, and aligned with emerging risk frameworks. Detect and address issues such as hallucinations, bias, or data leakage to strengthen performance and trust. See how we helped a global bank assess GenAI risk in this case study.

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GenAI Risk
Mitigation

Benchmark guardrails to secure GenAI systems without compromising performance, and identify which safeguards most effectively mitigate risks. See how this works in practice in our report on securing open-source models with guardrails.

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AI Performance Optimization

Maximize ROI from your AI systems by enhancing performance, uncovering hidden failures, and mitigating risks. Ensure your models run reliably, safely, and in full compliance. See how we helped a leading power infrastructure company achieve this in our case study.

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Translate AI Risks into Deep Technical Controls

Map use case or company-specific risks into actionable controls to manage AI systems with clarity and precision. See how LatticeFlow AI enabled a leading financial services institution to achieve this in this case study.

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Scale AI Governance Operations

Centralize risk frameworks, align with regulations, and unify AI assessments for consistent, compliant, and transparent practices across the organization. This ensures every AI system is evaluated against the same standards and controls. See it in action.

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