Back to lifecycle

AI Standards Library

Minimum control baselines for enterprise AI. Use these pages for practical controls, required records, and operating handoffs.

AI Use Case Governance Standard

Minimum controls before moving beyond experimentation.

AI Access Control Standard

Identity, entitlement, least privilege, revocation.

Open standard

AI Gateway Standard

Runtime gateway controls for model and tool traffic.

Open standard

Model Governance Standard

Model approval, routing, monitoring, retirement.

Agent Runtime Standard

Agent controls for autonomy, tooling, escalation, and telemetry.

Open standard

AI Tool Exposure Standard

Controls for AI-callable tools/APIs/workflows.

Open standard

MCP Server Standard

Controls for MCP server registration, security, and operation.

Open standard

AI Data Use Standard

Data classification, restrictions, and retention for AI use.

Open standard

Prompt, Instruction & Output Governance Standard

Prompt safety and output release controls.

Open standard

Knowledge & Semantic Grounding Standard

RAG, ontology, graph, provenance, grounding quality.

Open standard

Observability & Evidence Standard

Lifecycle telemetry and audit evidence requirements.

Open standard

AI Evaluation & Release Standard

Pre/post-production test baselines and release gates.

Open standard