agent-security-review

You can audit AI agents for prompt injection and unsafe tool use by running a security review that analyzes tool use, context management, and security policies to identify vulnerabilities like context leakage and approval bypasses.

LLM security auditing is the process of reviewing AI agents and LLM systems for vulnerabilities. It works by inspecting MCP servers, tool routers, and memory layers for missing security tests, context leakage, and approval bypasses.

Yes, you can review browser automation and shell code execution agents. The security review applies to auditing tool routers, retrieval systems, memory layers, and human-approval gates for potential security vulnerabilities.

The best way to prevent context leakage in retrieval systems is to perform a thorough agent security review that analyzes context management and security policies to detect unauthorized data leaks and missing security tests.

To check your AI agent for human-approval bypass vulnerabilities, run a security review that analyzes approval gates, tool use, and context management to ensure unauthorized actions cannot bypass required human confirmations.