CydraLabs

Solutions · AI Governance

Continuous technical governance, backed by runtime evidence

Static policy documents do not show whether controls operate. CydraGovern classifies AI systems, maps controls across frameworks and links them to evidence generated by real gateway decisions.

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The challenge

What teams tell us they face

For: CROs, compliance leads, governance managers and internal audit

  • New AI systems appear faster than governance reviews can classify them.
  • Frameworks such as the EU AI Act, ISO/IEC 42001 and NIST AI RMF overlap but use different language.
  • Audit evidence is gathered manually and goes stale.
  • Exceptions are granted without expiry or ownership.

The approach

How CydraLabs helps

  1. Step 1

    Classify

    Record EU AI Act risk tier and internal criticality for each AI system (Beta).

  2. Step 2

    Map controls

    Use representative control mappings across EU AI Act, ISO/IEC 42001, NIST AI RMF, ISO/IEC 27001, GDPR, DORA, NIS2 and SOC 2 (Beta).

  3. Step 3

    Collect evidence

    Link evidence records from the gateway to the controls they demonstrate.

  4. Step 4

    Remediate

    Track gaps, time-bound exceptions and remediation tasks with owners.

Products

Products involved