LatticeFlow AI launches first public AI frameworks registry. Read more.

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Atlas: Turn AI Frameworks
into Interpretable Results

Control AI Risk with Pre-Built Frameworks and Ready-to-Run Evaluations that can be executed via the LatticeFlow AI Platform.

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AI Atlas hero

Frameworks Don't Execute Themselves

Going from Frameworks to Interpretable Results is hard and time-consuming.

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AI Frameworks Are Hard to Translate Into Action

AI regulations and frameworks are long, vague, and difficult to operationalize. Teams struggle to identify the concrete technical controls required for compliance.

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Evaluations Take Weeks to Build Manually

Even when requirements are clear, creating relevant evaluations requires domain expertise, metrics, datasets, and technical setup - slowing down governance and AI teams.

From Frameworks to Interpretable Results

Four building blocks that enable effective AI Risk Control.

Public AI Framework Registry

Explore a continuously maintained registry of AI regulations, standards, and frameworks, structured into clear risks and controls.

  • Continuously Maintained: Atlas covers EU AI Act, NIST, OWASP and more. Updated as the regulatory landscape evolves.
  • Publicly Accessible: Structured frameworks open to everyone, not gated behind a paywall.
AI Atlas Framework Overview screenshot

Requirement-to-Evaluation Mapping

Understand which concrete technical evaluations are needed to fulfill governance requirements.

  • Use Case-Specific: Atlas mappings take into account which evaluation metrics and datasets are relevant for each use case, e.g. support chatbot versus recruiting.
  • Transparency Builds Trust: For each evaluation, Atlas describes the methodology, dataset, metrics, examples and more.
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Ready-to-Run Evaluation Packages

Run evaluation packages via the LatticeFlow AI Platform in minutes.

  • Skip Weeks of Setup: Replace manual eval design with pre-built evaluation packages.
  • Scales With You: Start with minimal configuration. Extend and customize as requirements evolve.
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Interpretable Policy PackagesComing Soon

Turn evaluation results into clear risk scores that enable decision making for governance and business outcomes.

  • Built on Our Expertise: Policy packages bundle years of experience and best practices from industry and academia.
  • Compliance-Ready: Surface insights aligned with the frameworks that matter to your business.
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See AI Atlas in Action

A short walkthrough of frameworks, mappings, evaluations - and how to execute them.

AI Atlas: Your Platform Entry Point

Atlas maps frameworks to evaluations. The LatticeFlow AI platform runs them.

  1. 1Find relevant standards and regulations in Atlas
  2. 2Understand risks, controls, and technical requirements
  3. 3Select relevant evaluation packages and security evaluations for your use case
  4. 4Import and configure in the LatticeFlow AI platform via Eval and Secure
  5. 5View interpreted results and set up continuous monitoring via Govern
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Frequently Asked Questions

AI Atlas is a public registry of AI frameworks, standards, and regulations, structured into risks, controls, and technical evaluations.
AI Atlas is continuously maintained with up-to-date AI regulations, standards, and frameworks, including EU AI Act Article 15, FINMA, OWASP, and MindForge - with new frameworks added as the regulatory and risk landscape evolves.
Evaluation packages are ready-to-run technical tests mapped to specific AI governance requirements. They help teams generate measurable evidence without building every evaluation from scratch.
AI Atlas defines the frameworks, controls, and evaluation packages. LatticeFlow AI Eval and Secure execute the evaluations, while Govern helps interpret results and turn them into risk decisions.
Yes. AI Atlas provides public access to structured AI frameworks and controls, helping organizations build on a transparent foundation for AI risk control.

From Frameworks to Interpretable Results

Skip weeks of manual setup. Run pre-built evaluations from Atlas and turn governance requirements into clear, interpretable results.