Policy engine
Define trust policies with a visual builder or AI agent. Evaluate every resource continuously and flag violations in real time.
Learn moreEvery AI agent, MCP server, and API endpoint in your stack — discovered, assessed, and held to your security policies. Move from manual triage to automated detection and response.
Detection-to-response
Continuous network-layer and API-based discovery finds new AI agents, MCP servers, and endpoints the moment they appear — no manual inventory required.
The risk register scores each resource by blast radius — how many downstream agents, data flows, and users it touches. High-impact resources surface first.
The policy engine evaluates every resource against your rules continuously. Violations update trust status and trigger alerts within minutes, not at the next audit cycle.
AI remediation agents propose concrete fixes — quarantine an unsanctioned model, rotate a leaked key, reassign ownership. Humans review and approve before anything executes.
of organizations that experienced an AI-related breach lacked proper AI access controls.
IBM/Ponemon, 2025of organizations lack confidence in detecting shadow AI deployments.
Cisco Cybersecurity Readiness Index, 2025Capabilities
Define trust policies with a visual builder or AI agent. Evaluate every resource continuously and flag violations in real time.
Learn moreAggregate unsanctioned resources, policy violations, and ownership gaps into a single prioritized view ranked by blast radius.
Learn moreInspect every tool call, prompt, and response from AI agents in production. Full trace visibility for incident investigation.
Learn moreeBPF kernel probes and packet-level analysis surface AI resources that API scanners miss — including unregistered agents and shadow deployments.
Learn moreGet a live map of every AI agent, MCP server, and API endpoint in your environment — in under 30 minutes.
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