LatticeFlow AI, a Swiss deep-tech company advancing AI trust, risk, and security management, today announced the launch of AI Atlas, the first public registry of AI governance frameworks mapped to ready-to-run technical evaluations. AI Atlas enables organizations to generate measurable evidence of AI security and performance, and to actively control risk. Moreover, AI Atlas replaces manual work and static documentation with automated, out-of-the-box technical evaluations, providing continuous visibility into how AI systems perform against key frameworks and regulations.
AI Atlas integrated with LatticeFlow AI platform for end-to-end evaluations in minutes.
Frameworks include EU AI Act Article 15 (accuracy, robustness, cybersecurity), FINMA (Swiss financial services), OWASP (application security), and MindForge (model behavior, robustness, safety).
AI Atlas is a public resource with free, non-restricted access.
Continuously maintained registry updated as frameworks evolve and AI security research advances.
Enables seamless movement from requirements to validated evidence.
Risk is measured, validated, and controlled, not just documented.
AI governance has been missing a critical layer: a direct mapping from AI framework requirements to technical evaluations. Frameworks define requirements but provide no guidance on how to evaluate them. With AI Atlas, LatticeFlow AI closes this gap by mapping every requirement to an executable, technical evaluation, embedding governance directly into the evaluation and monitoring of every AI system's lifecycle, so risk is not just documented, but measured, validated, and controlled. Teams can select frameworks, run them directly on their AI systems, and seamlessly move from requirements to validated evidence. This allows organizations to start and automate their AI governance journey quickly, establish control over AI risk, and maintain continuous oversight as systems evolve.
AI Atlas offers a continuously maintained registry of AI frameworks, standards, and regulations, including their specific risks and controls and connected with out-of-the-box technical evaluations. AI Atlas is updated as frameworks evolve and as AI security and risk research advances, ensuring organizations leverage state-of-the-art risk controls. Key frameworks already available in AI Atlas include EU AI Act Article 15 defining requirements for accuracy, robustness, and cybersecurity of high-risk AI systems; FINMA developed by the Swiss Financial Market Supervisory Authority setting expectations for risk management, governance, and oversight of AI systems in financial services; OWASP global standard for application security including the OWASP Top 10; and MindForge focusing on assessing model behavior, robustness, and safety in real-world scenarios. AI Atlas is designed as a public resource, providing organizations with free, non-restricted access to AI frameworks, standards, and regulations, removing the need for proprietary interpretations or gated methodologies and enabling a shared, transparent foundation for AI risk control.
About LatticeFlow AI
LatticeFlow AI is a Swiss deep-tech company advancing AI trust, risk, and security management. The company provides AI governance solutions that enable organizations to measure, validate, and control AI risk continuously throughout the AI lifecycle.
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