Production-ready agents must stay within observable boundaries. Denied enforces policy, observes every action, and scales with your AI operations.
Contextual, task-scoped permissions evaluated at the moment each tool is called. Define exactly what agents can do — and block everything else.
Every tool call logged with task scope, policy outcome, and session context — not just what happened, but why it was allowed or denied.
Pull access for any agent, task, or integration in real time. No credential rotation, no redeploy — one perimeter, complete control.
Denied integrates with your existing architecture — no rebuilding required. Choose the integration pattern that fits: wrap the runtime, proxy the protocol, or isolate the environment.
Drop-in library that wraps your agent runtime. Intercepts and enforces policies before any tool is called — zero architecture changes.
Transparent proxy for Model Context Protocol. Authorize every MCP call without modifying your agent code.
Isolated execution environments that constrain what agents can reach. Eliminate lateral movement at the infrastructure level.
Limited spots. Every application is reviewed by our team.
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