Scouter

Scouter is an AI security tool that monitors, intercepts, and controls AI agent actions in production for teams shipping agentic systems into real workflows. It instruments every tool call, API request, and database query against policy in milliseconds — allowing safe work to continue while flagging or blocking risky actions before they execute.

At its core, Scouter provides full agent observability by turning production conversations and tool calls into a living map of user intent, agent behavior, and recurring failure points. A standout capability is agentic drift detection, which tracks registered intent and alerts teams when agent behavior deviates from expected patterns — catching problems before they reach users. It also includes ML-based prompt injection detection and Shadow AI agent discovery, which inventories undocumented agents running across an organization alongside their permissions and integrations.

Teams can enforce secure-by-design policies across agent configurations and memory, build human approval workflows for sensitive actions, and forward audit logs to SIEM platforms like Splunk. Scouter supports OpenAI, LangChain, CrewAI, and MCP-based agents out of the box. For organizations operating under regulatory requirements, it offers compliance reports covering SOC 2, ISO 42001, and the EU AI Act at the Enterprise tier. The platform is designed to grow with a team — starting from a free trial for up to three agents and scaling to unlimited agents with self-hosting options for large enterprises.

Scouter is primarily used to secure AI agents in production by intercepting and blocking unsafe tool calls, API requests, and database queries before they execute. It is also used for Shadow AI discovery — inventorying undocumented agents running across an organization — and for agentic drift detection to catch behavioral deviations early.