LatticeFlow AI, a Switzerland-based deep-tech company focused on AI trust, risk, and security, has introduced AI Atlas, a first-of-its-kind public registry that connects AI governance frameworks directly to executable technical evaluations. With this launch, the company aims to address a long-standing gap in AI governance by enabling organizations to move from theoretical compliance to measurable, real-world validation.

As AI adoption accelerates across industries, organizations increasingly struggle to translate governance requirements into actionable technical processes. Traditionally, teams have relied on manual documentation and static compliance checks, which often fail to provide real-time visibility into AI system performance. However, LatticeFlow AI is changing this approach by offering a platform that automates and operationalizes AI governance.

“AI governance has been missing a critical layer: a direct mapping from AI framework requirements to technical evaluations,” said Dr. Petar Tsankov, CEO and Co-Founder of LatticeFlow AI. “Frameworks define requirements but provide no guidance on how to evaluate them. With AI Atlas, we close 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.”

At its core, AI Atlas enables organizations to generate measurable evidence of AI security, performance, and compliance. Instead of relying on static reports, teams can now run automated evaluations that continuously assess AI systems against regulatory and industry standards. Consequently, this shift replaces time-consuming manual processes with dynamic, evidence-based insights, allowing organizations to actively manage and mitigate risk.

Moreover, AI Atlas integrates seamlessly with the LatticeFlow AI platform, enabling end-to-end risk and performance evaluations in just minutes. Teams can select relevant frameworks, execute them directly on their AI models, and quickly transition from compliance requirements to validated outcomes. As a result, organizations can accelerate their AI governance journey while maintaining continuous oversight as their systems evolve.

In addition, the platform offers a continuously updated registry of AI frameworks, standards, and regulations. This ensures that organizations always align with the latest developments in AI risk management and security research. By maintaining up-to-date mappings between frameworks and technical evaluations, AI Atlas allows businesses to stay ahead of regulatory changes and emerging threats.

Currently, AI Atlas supports several key frameworks. For instance, it includes the EU AI Act (Article 15), which focuses on accuracy, robustness, and cybersecurity requirements for high-risk AI systems. It also incorporates FINMA guidelines, which define risk management and governance expectations for AI in financial services. Furthermore, the platform integrates the widely recognized OWASP standards, addressing critical application and AI security risks, along with MindForge, which evaluates model behavior, robustness, and safety in real-world conditions.

Ultimately, with AI Atlas, LatticeFlow AI is positioning itself at the forefront of AI governance innovation. By linking regulatory requirements directly to technical execution, the company enables organizations to move beyond compliance checklists and toward continuous, measurable risk control.

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