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, governed MCP-hosted tools, and structured metadata for auditability.
Use the demo to test AI Gateway, then open the console for policy review and operator controls.
Governance controls
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 and unmanaged tool access.
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, and can hold MCP-hosted tools behind curated catalogs when tool workflows need governance.
Track usage and keep governance reviewable
Central request metadata makes governance measurable. Security and platform teams can review policy outcomes, provider usage, model-routing decisions, and governed MCP tool use across internal AI tools.