A team of agents
Specialized agents collaborate across reconnaissance, analysis, and validation, sharing discoveries as an assessment develops.
Give application security an investigative edge. Strix brings autonomous AI agents, dynamic testing, and reproducible findings into the developer workflow.
Open source · Apache 2.0 · Built for developers & security teamsFrom exploration to validation, Strix combines tools and agent coordination to make security findings actionable.
Specialized agents collaborate across reconnaissance, analysis, and validation, sharing discoveries as an assessment develops.
Browser automation, HTTP inspection, shell access, and sandboxed Python support hands-on application testing.
Working proofs of concept and reproduction steps help reviewers distinguish a suspected issue from a demonstrated weakness.
Investigate access controls, injection risks, authentication, business logic, and API behavior across your application surface.
Review vulnerability details, technical evidence, and remediation guidance in the context of your development process.
Use the CLI for focused reviews or bring assessments into CI/CD. Consult upstream documentation for current integration options.
A practical assessment follows a trail of evidence. Human review remains part of deciding what to fix and how.
Choose an authorized target: local source code, a repository, or a running web application.
Agents map the surface and use testing tools to investigate potentially vulnerable behavior.
Inspect evidence and reproduction steps. Understand what happened and why it matters.
Use the report and remediation guidance to prioritize fixes, then verify the changes.
Start with a focused question, then choose the assessment that fits your environment.
Review a local codebase or development build to investigate security issues before a release.
Assess an authorized web application and examine how its real behavior compares with your assumptions.
Use supported API contracts, including OpenAPI specifications, to guide testing toward declared endpoints.
Run the CLI in automated workflows and use findings as input to your team's security review process.
The open-source tool runs with Docker and a supported LLM provider. Install and configure it using the official guide, then point it at your authorized target.
# Assess a local application strix --target ./app-directory # Review a source repository strix --target https://github.com/org/repo
A few things to know about the project and this page.
Strix is an open-source AI penetration testing tool. It uses autonomous agents and testing tools to investigate applications, validate vulnerabilities, and provide findings with remediation guidance.
No. This is an independent project introduction. The links take you to the official repository and documentation, where you can learn how to install and use Strix.
The upstream quick start requires Docker and a supported LLM provider configuration. Provider availability and installation instructions can change, so follow the current official documentation.
Treat automated findings as input to a security process. Review the scope, evidence, impact, and proposed fixes. No automated assessment establishes that an application is free of vulnerabilities.
Yes. The upstream repository is published under Apache 2.0. Local open-source usage, LLM provider costs, and the managed cloud offering are separate considerations.
Only systems you own or have explicit authorization to test. Define the allowed targets and testing scope before starting an assessment.
Read the code, explore the documentation, and make evidence-driven testing part of your development workflow.