AI Governance

AI governance for internal tools and company AI workflows.

AI governance defines how internal teams are allowed to use models, what prompt data can be sent, and how requests are routed and logged.

Posturio AI Gateway provides the enforcement layer: policy checks, model routing controls, and structured metadata for auditability.

Governance controls

Model policy Approved providers and models
Prompt policy Inspection, blocking, and routing rules
Visibility AI usage metrics and request traces
Auditability Structured metadata for reviews
Model Control

Control which models internal tools can use

Governance begins with explicit model allowlists. Teams can route coding prompts, support prompts, and knowledge-retrieval prompts to different providers while preventing unapproved model usage.

Prompt Policy

Enforce prompt policies before model execution

Prompt policy checks can detect secrets, sensitive data, and restricted patterns. AI Gateway can block, redact, or reroute requests before any provider call is made.

Operational Visibility

Track usage and keep governance reviewable

Central request metadata makes governance measurable. Security and platform teams can review policy outcomes, provider usage, and model-routing decisions across internal AI tools.

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