
sage
Lightweight Agent Detection & Response (ADR) layer for AI agents — guards commands, files, and web requests. Part of Gen Agent Trust Hub.

Lightweight Agent Detection & Response (ADR) layer for AI agents — guards commands, files, and web requests. Part of Gen Agent Trust Hub.

The source files and tools needed to build the OWASP Cornucopia decks in various languages

Security scanner for AI/ML model files. Detects malicious code, backdoors, and vulnerabilities before deployment

AI-driven automated threat analysis pipeline that routes files, URLs, IPs, domains, or images through specialized security analyzers and generates…

Security benchmark for evaluating OpenClaw agents against adversarial execution contexts including poisoned files, injected skills, misleading tool…

Static security scanner for AI agent skill packages. Detects malicious SKILL.md files and bundled scripts before they run.

GitHub Action that scans ML model files for malicious code and security vulnerabilities

Sandbox and MCP proxy that blocks AI coding agents from reading SSH keys, AWS credentials, and .env files, with deny-by-default policy and…

Free hands-on digital forensics labs for students and faculty

Autonomous white-hat security auditor for AI-driven code review, bug bounty research, exploit construction, and execution-grounded verification.

Security toolkit for AI agents. Scan your machine for dangerous skills and MCP configs, monitor for supply chain attacks, test prompt injection…

Alignment-research scaffold (autoresearch-style) for LLM guardrails: search over a single policy.md surface

Desktop monitoring and local security reviews for AI agents, with opt-in policy-controlled execution and MCP action tools. Windows primary;…

Pre-execution intent verification for AI agents. Audits what your AI is about to do, not what it says. Zero dependencies, deterministic, hash-sealed.

Security for the modern age of AI: defend against bad AI agents and malicious npm packages