Solution / AI Agents & MCP
Control what autonomous AI agents are allowed to do.
AI agents don't just chat, they read files, call APIs and execute commands, often through MCP servers installed without IT approval. Patronus secures agentic AI at the endpoint: every tool call is monitored, risky actions are blocked before execution, and you define exactly which systems an agent may touch. Human-in-the-loop where it matters, full audit trail always.
Why agents break your security model
IAM was built for humans
An agent inherits its user's permissions and acts at machine speed. One hijacked prompt equals one authorized-looking action after another.
MCP is an unmonitored surface
Developer laptops run multiple MCP servers with mail, database and shell access, invisible to every traditional security tool.
Indirect prompt injection
Hidden instructions in a document, issue or email can steer an agent into calling any tool it's connected to.
How Patronus secures agents
Tool-call monitoring
Patronus sees every agent action, file reads, API calls, MCP tool invocations, as it happens on the device.
Action control
Policies define what agents may access. Risky or unapproved actions are blocked or escalated for human approval before they execute.
Injection defense
Purpose-built models detect prompt injection and instruction overrides in the content agents ingest, before the manipulated action runs.
Agent security in numbers
Every call
agent and MCP activity visible on-device
Pre-execution
risky actions stopped before they run
Audit-ready
structured event log for every agent action
FAQ