AI Security for Agents
Agents act on their own. Keep them in bounds.
Cato secures local, custom, and managed AI agents across the enterprise. Discover, assess posture, and stop risky behaviors before they create business impact.
Stop unsafe actions before they execute.
Cato monitors agent behavior in real time and applies runtime controls to block prompt injection, data exfiltration, and unauthorized actions.
Discover every agent. Govern every tool call.
Connect Cato to your infrastructure to discover agents, log tool calls, APIs, and MCP interactions, and govern access across systems.
Autonomy is the new attack surface.
Prompt injection via untrusted inputs
Agents can't always tell trusted inputs from untrusted ones, so a crafted prompt turns the agent's own autonomy against you.
Autonomous data exfiltration
Agents access and transmit sensitive data on their own, often without clear boundaries or user oversight.
Over-privileged, misconfigured agents
Agents can run with excessive permissions across enterprise systems. Any misconfiguration is a breach path.
Unauthorized actions, no audit trail
Agents act across tools, APIs, and MCP interactions with no consistent record of what they did, or why.
See every agent.
Govern every action.
AI agents now act with real autonomy and real privileges — and most security tools can't see them. Cato gives you full visibility into every agent across your environment and governs what each one is allowed to do, so you can adopt agentic AI without losing control.
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Discover agents
Cato connects to your infrastructure to discover AI agents across systems, tools, and MCP interactions.
Monitor behavior
Cato monitors agent behavior: prompts, tool calls, and actions: logging every interaction to assess risk.
Enforce runtime controls
Cato applies runtime controls to govern access and stop unauthorized or unsafe actions before execution.
Defending Against the Next Generation of Agentic Attacks
AI Security for Agents Capabilities
Discover agents across the enterprise
Security teams can't govern agents they can't see. Cato discovers local, custom, and managed agents across the enterprise, including their tools, MCP servers, data access, and execution paths.
- Find local, custom, and managed agents
- Map the tools, MCP servers, and data they access
- Reveal execution paths so teams know where to focus
Assess agent posture and exposure
Agents often inherit broad permissions and unsafe tool access. Cato surfaces agent activity, tools, and MCP usage so teams can reduce exposure and define safe operating boundaries.
- Surface agent activity, tools, and MCP usage
- Spot over-privileged access and unsafe integrations
- Define safe operating boundaries
Detect AI-native risk with the AI Security Engine
Protect agents with the Cato AI Security Engine, which detects AI-native risk with industry-leading precision, recall, and low latency while evaluating context across the full interaction.
- Detect AI-native risk with high precision and recall
- Evaluate context across the full interaction
- Stop hidden risks before they turn into agent action
Control the full agent action chain
Agents act at machine speed, without human-level judgment: expanding the blast radius of any error or misuse. Cato controls prompts, responses, tool calls, and tool actions before agents create business impact.
- Inspect prompts, responses, tool calls, and tool actions
- Block risky actions before they execute
- Contain the blast radius of error or misuse
Customers love Cato
The third layer is agents themselves. We aren't just talking about employees, but also about agents acting on their behalf. If you can control access and the data the agent accesses, the agent can't cause much harm if it goes rogue. That's why we focus heavily on identity, permissions, and data boundaries, and Cato AI Security gives us the visibility we need. In summary, each layer—employee AI, product AI, and agentic AI—raises the security bar. Cato AI Security has made managing all of this much easier for us.
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