Leadership-readable policy set. These are durable statements of what must be governed and why.
Enterprise AI capabilities must use approved architecture, lifecycle, ownership, and governance controls.
Model, agent, tool, and data access must be authenticated, authorized, least-privilege, auditable, and revocable.
Models and agents must be registered, risk-classified, evaluated, approved, monitored, and lifecycle-managed.
AI systems may only call approved tools and backend systems through governed contracts and controlled execution paths.
Sensitive and regulated data must follow approved classification, usage, and retention rules.
Outputs/actions must be validated before release, with human approval for high-risk decisions.
AI calls must produce sufficient telemetry, cost traceability, and audit evidence.
Systems must protect against misuse, prompt injection, jailbreaks, leakage, unauthorized tool use, and unsafe automation.