Singapore's AI governance testing framework — voluntary toolkit and attestation for trustworthy AI.
Voluntary; many MNCs use it as their AI governance baseline.
Continuous evidence pipeline available; audit support included for all customers.
These are the obligations a regulated entity owes — the things an assessor or supervisor will ask about.
11 AI ethics principles mapped to testable processes.
Toolkit-based attestation that processes are in place.
Each requirement above is bound to live telemetry — not screenshots. The mapping below is what your auditor or regulator sees.
AI Verify process attestation auto-populated from model registry telemetry.
Model evaluation and red-team evidence binding.
Each evidence artifact is signed and timestamped. Auditors can verify integrity without trusting Safeguard.
AI Verify Process Checks report.
Model evaluation evidence.
These frameworks share substantial control overlap with AI Verify. Customers running one assessment typically satisfy the others with the same evidence base.
European Union
The world's first comprehensive AI regulation — risk-based, with phased prohibitions, transparency duties, and obligations for high-risk and general-purpose AI.
North America
The 2023 US Executive Order on Safe, Secure, and Trustworthy Development and Use of AI — reporting requirements for foundation model developers and federal AI use governance.
APAC
Korea's AI Framework Act — risk classification and obligations for AI providers, with phased entry into force.
Bring the framework. We'll walk the controls with you — section by section, evidence packet by evidence packet, with the regulators you actually have to answer to.