Top AI-SECURITY GitHub Repositories & Tools (2026)

agent runtime security - zero trust, zero setup, zero latency.

An agent-native red-teaming workspace with a fast browser, direct HTTP traffic control, sandboxed execution, and auditable sessions. Pure Rust.

The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.

Open-source AI Security Operations Center: alert fusion, LLM-agent triage, MITRE ATT&CK investigation, and a replayable decision ledger for every agent step. Self-hostable, runs with no API keys, MIT licensed. Ships an MCP server for Claude, Cursor and Continue.

A secure low code deception runtime framework, leveraging AI for System Virtualization.

ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.

Reconmap is a collaboration-first security operations platform for infosec teams and MSSPs, enabling end‑to‑end engagement management, from reconnaissance through execution and reporting. With built-in command automation, output parsing, and AI‑assisted summaries, it delivers faster, more structured, and high‑quality security assessments.

Zero-knowledge credentials infrastructure built for AI agents to operate, not just consume.

The open source taint analysis engine for the AI era. A formal dataflow analysis tool you can customize and self-host, built so AI agents drive your application security analysis without burning tokens on every scan. AI-ready open source alternative to Semgrep Pro and CodeQL.

Open-source adversarial testing engine, SDK, and CLI for AI agents. Runs locally or against the Humanbound Platform.

Run your agent in a Minimal box. Ship and run software with isolation on your own computer.