Map your AI governance to the
standards auditors reference
KLA turns runtime controls and signed evidence into conformance you can map to ISO/IEC 42001, NIST AI RMF, the EU AI Act, and more — without re-platforming. KLA helps you demonstrate conformance; it does not certify you.
Standards & frameworks KLA maps to
These are the AI-governance standards auditors and regulators reference. KLA maps its runtime controls and signed evidence to each — we help you map to and operationalize them. We are not certified to them, and using KLA does not certify you.
AI management systems
Standards that define how an organization should run, monitor, and improve its AI over time. KLA gives these management-system requirements live runtime controls and signed evidence to point at.
- ISO/IEC 42001
The AI management system (AIMS) standard — requirements for governing AI across its lifecycle.
How KLA helps: Map runtime controls to AIMS clauses and structure signed evidence against them.
- ISO/IEC 38507
Governance implications of the use of AI by organizations — guidance for boards and governing bodies.
How KLA helps: Translate governance-body expectations into operated controls with signed evidence they ran.
AI risk management
Frameworks for identifying, measuring, and treating AI risk. KLA makes the controls you claim observable — measured runtime behavior instead of self-attested documents.
- ISO/IEC 23894
Guidance for applying risk management to AI — how to identify and treat AI-specific risks.
How KLA helps: Map controls to its risk-treatment guidance and capture signed evidence of enforcement.
- NIST AI RMF
The US National Institute of Standards and Technology AI Risk Management Framework (Govern, Map, Measure, Manage).
How KLA helps: Map runtime controls to its functions and structure evidence against each.
Principles & ethics
Higher-level principles that shape responsible AI expectations. KLA helps you translate them into enforceable controls with proof they ran.
- OECD AI Principles
Intergovernmental principles for trustworthy AI adopted across many jurisdictions.
How KLA helps: Operationalize the principles as runtime policy and signed evidence.
- IEEE 7000
A standard for addressing ethical concerns during system design.
How KLA helps: Map design-stage ethical requirements to controls you can demonstrate in operation.
Regulation
The EU AI Act is regulation rather than a voluntary standard, but the same KLA building blocks — Control Mapping and signed Execution Lineage — let you demonstrate how your obligations are met.
- EU AI ActEU AI Act hub
The EU regulation governing AI systems by risk tier, with obligations for high-risk use.
How KLA helps: See the dedicated EU AI Act hub and KLA framework control mapping.
Control Mapping ties these requirements to your operated controls. See KLA framework control mapping.
How KLA helps with standards
KLA does not certify you. It gives you the runtime controls and signed evidence to demonstrate conformance — so a mapping points at something real instead of a document.
Control Mapping
Map your runtime controls to each framework's requirements so you can show, requirement by requirement, which operated control satisfies it — instead of starting from a blank spreadsheet.
Signed evidence
Every governed action, policy decision, and reviewer outcome is written into signed Execution Lineage — audit-ready conformance proof you can replay and export as a Control Pack.
Continuous assurance
Conformance backed by measured runtime behavior, not self-attested documents. Continuous Assurance keeps the picture current as your agents change — KLA helps you demonstrate conformance; it does not certify you.
Honest by design. KLA helps you map controls to a standard and prove they ran. It does not make you certified or compliant — conformance assessment and certification stay with your auditor or certification body.
Map your controls to the standards that matter
Start in Control Mapping to tie your runtime controls and signed evidence to each framework, or talk through which standards your auditors reference.