Enables LLM agents to automate Check Point firewall rule changes by translating natural language access requests into correct, first-match-safe policy updates via MCP tools.
Provides tools to test regex patterns for correctness, performance (ReDoS), and memory usage, and suggests safe rewrites. Enables LLMs to iterate on regex generation with verifiable feedback.
Provides a zero-install security baseline for AI coding agents, with tools to retrieve curated security rules and check actions against them for self-correction.