China's Interim Measures for the Management of Generative AI Services — model registration, content labelling, training data review.
Providers of generative AI services available to the public in China.
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.
Model algorithm filing with CAC.
Content labelling for synthetic content.
Training data lawfulness and IP review.
Content moderation aligned with mainland regulations.
Each requirement above is bound to live telemetry — not screenshots. The mapping below is what your auditor or regulator sees.
Model registry with CAC filing fields pre-populated.
Synthetic content labelling pipeline (C2PA + visible label).
Training data provenance and lawfulness checks.
Each evidence artifact is signed and timestamped. Auditors can verify integrity without trusting Safeguard.
CAC filing pack.
Training data inventory.
These frameworks share substantial control overlap with China GenAI. 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.
APAC
Korea's AI Framework Act — risk classification and obligations for AI providers, with phased entry into force.
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.
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.