Comply · Global standards & industry frameworks
Microsoft Responsible AI Standard
Microsoft's Responsible AI Standard.
The Microsoft Responsible AI Standard operationalizes six principles — fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability — into concrete goals and requirements teams follow when building AI systems, including impact assessments and oversight of sensitive uses.
Who it applies to
Teams that adopt Microsoft's responsible-AI practices as an internal governance standard.
Key obligations
- Apply the six responsible-AI principles
- Complete responsible-AI impact assessments
- Oversee sensitive and restricted uses
- Document transparency and accountability
How Maetra maps agents to Microsoft RAI
Maetra provides the impact-assessment evidence, oversight workflows, and audit trail that turn the Responsible AI Standard's requirements into demonstrable practice.
In practice, Maetra:
- Scans and fingerprints each agent. Discover reads the agent’s code — its tools, data access and sensitivity, actions, model, and environment — into an evidence-backed profile tied to the exact file and commit.
- Decides what applies. That profile determines whether Microsoft RAI is in scope for the agent and which of its requirements apply.
- Auto-detects controls and surfaces gaps. Controls your code already satisfies are detected automatically from the scan; the rest become a clear list of gaps, each tied to the requirement and the evidence it still needs.
- Proves it and keeps it current. Close gaps with linked evidence or generated documents — reused across every framework the same control supports — and Maetra re-checks on each rescan and flags evidence that has gone stale.
Related frameworks
Prove Microsoft RAI compliance with Maetra
Classify your AI agents once and Maetra maps them to Microsoft RAI and every other framework it supports — generating the evidence and documentation, tracking gaps and deadlines, and sealing every decision in an immutable audit trail.