> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.lakera.ai/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.lakera.ai/_mcp/server.

# AI Agent Security Early Access

## New Product: AI Agent Security (Early Access)

Check Point AI Agent Security extends AI Guardrails with discovery and risk assessment for the agents your organization builds and deploys:

* **Agent discovery:** Connect Amazon Bedrock, Amazon Bedrock AgentCore, Google Cloud, Microsoft Copilot Studio, Salesforce Agentforce, n8n, and Relevance AI to build a continuously updated inventory of agents, their tools, and connected MCP servers. See [Agent Discovery](/docs/agent-security/discovery).
* **Risk assessment:** Per-agent risk ratings (Critical / High / Medium / Low) with contributing factors, and a risk-types view across all agents with severity, affected-agent counts, and OWASP and MITRE ATLAS mappings. See [Risk Assessment](/docs/agent-security/risk-assessment).

## API Updates

* **Agent Behavior Defense:** A new runtime defense category for agents, configured in policies and enforced through the Guard API. Contains the Off-Task Action detector, which flags tool calls inconsistent with the user's intent in the conversation, and the Tool Allow/Deny List, which controls which tools an agent may call at runtime. See [Agent Behavior Defense](/docs/agent-behavior-defense).
* **Guard API:** Policies can now configure detectors on agent interaction points, including tool calls and tool responses. Tool responses passed with the `tool` role are screened as untrusted content.