Four levels of national AI trust.

Foundational verification that an organization has established basic AI governance and responsible-use practices.

• • AI inventory and ownership documented
• • Baseline AI acceptable-use policy
• • Initial risk classification of AI systems

Organizations beginning their AI journey seeking a public signal of foundational responsibility.

Independent certification of an operational AI system against national assurance controls.

• • Documented governance, risk, and data controls
• • Security, monitoring, and incident response in place
• • Evidence-based assessment of a specific AI system

Production AI systems in citizen services, financial services, healthcare, and other regulated sectors.

Advanced assurance for AI systems operating in higher-risk or critical national contexts.

• • Full alignment with ISO/IEC 42001 and NIST AI RMF
• • Continuous monitoring and independent audit
• • Demonstrated fairness, robustness, and explainability

AI systems supporting critical infrastructure, public safety, or large-scale citizen impact.

The highest national recognition for organizations setting the standard for responsible AI in Kazakhstan.

• • Portfolio-wide certified AI systems
• • Institutional leadership in responsible AI
• • Contribution to national AI standards and public trust

National champions and reference institutions leading responsible AI adoption in the Republic.