Strix
Autonomous AI penetration-testing agents that find vulnerabilities and validate them with working exploits.
About
Security teams point Strix at a codebase or running application and get validated vulnerabilities instead of scanner noise: autonomous agents plan an engagement, probe for the OWASP Top 10 plus business-logic flaws, then confirm each finding by building a working proof-of-concept exploit before reporting it. The agents carry real tooling, including an HTTP interception proxy, browser automation for XSS and authentication flows, shell and code execution, and multi-agent orchestration that splits large scopes across cooperating workers, with results collected in a local web dashboard. A one-line install script sets it up; runs require Docker plus an API key for a supported LLM provider such as OpenAI, Anthropic, or Google, and a GitHub Action wires scans into CI/CD. The repository passed 57k stars in 2026, making it one of the fastest-growing security projects on GitHub. Code is Apache 2.0, a commercial cloud and enterprise tier backs the project, and the usual rule applies: only test targets you are authorized to attack.
Should you use Strix?
Pick it when
Use Strix when a security or DevSecOps team wants autonomous agents to test its own web apps and code for OWASP Top 10 and logic flaws, reporting only findings backed by a working proof-of-concept exploit, including in CI.
Look elsewhere when
Skip it if the target is the model or chatbot itself rather than the application: garak and pyrit probe for jailbreaks and prompt injection. Runs need Docker and an LLM provider API key, and only test what you are authorized to.
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Details
- Category
- AI Agents & Orchestration
- Price
- Freemium
- Platform
- Local/Desktop
- Difficulty
- Easy (2/5)
- License
- Apache-2.0
- Added
- Aug 24, 2026