Anyone who has done traditional manual penetration testing knows the pain! Firing up a dozen tools—Burp, Nmap, Metasploit—switching back and forth, spending half the time on recon and half on exploit, writing PoCs by hand, and then writing a report that makes you question your life choices. False positives everywhere, while real vulnerabilities slip through… A developer got fed up and open-sourced a tool called Strix, an AI-powered penetration testing tool built specifically for AI-driven security testing.

Here are the key hardcore features:

• AI Agents that operate autonomously like real hackers, dynamically executing code and generating real, working PoCs (not false positives).
• Multi-agent orchestration: recon, exploit, and post-exploit teams collaborate in parallel, making efficiency skyrocket.
• One-click autofix: AI automatically generates patch PRs plus compliance-ready penetration testing reports.
• Developer-first CLI: supports local, GitHub, and black-box scanning, with seamless CI/CD integration.
• Supports multiple large language models including OpenAI, Claude, Gemini, and can even run locally.

In short, this is for developers, security teams, and Bug Bounty hunters who need fast and accurate security testing. You’re no longer the grunt manually digging for bugs and writing reports—you’re the security commander sitting back and directing a team of AI agents.

Don’t you think that role shift sounds exciting? I believe this is the way AppSec should work in the future.

https://github.com/usestrix/strix

usestrix/strix Source: https://github.com/usestrix/strix # Strix ### The open-source AI pentesting tool. Autonomous AI hackers that find and fix your app’s vulnerabilities. > [!TIP] > New! Strix integrates seamlessly with GitHub Actions and CI/CD pipelines. Automatically scan for vulnerabilities on every pull request and block insecure code before it reaches production - Get started with no setup required (https://app.strix.ai). — ## Strix Overview Strix are autonomous AI penetration testing agents that act just like real hackers - they run your code dynamically, find vulnerabilities, and validate them through actual proofs-of-concept. Built for developers and security teams who need fast, accurate security testing without the overhead of manual pentesting or the false positives of static analysis tools. Key Capabilities: - Full pentesting toolkit - reconnaissance, exploitation, and validation out of the box - Multi-agent orchestration - teams of AI pentesters that collaborate and scale - Real exploit validation - working PoCs, not false positives like legacy vulnerability scanners - Developer‐first CLI - actionable findings with remediation guidance - Auto‐fix & reporting - generate patches and compliance-ready pentest reports ## Use Cases - Application Security Testing - Detect and validate critical vulnerabilities in your applications - Rapid Penetration Testing - Get penetration tests done in hours, not weeks, with compliance reports - Bug Bounty Automation - Automate bug bounty research and generate PoCs for faster reporting - CI/CD Integration - Run tests in CI/CD to block vulnerabilities before reaching production ## 🚀 Quick Start Prerequisites: - Docker (running) - An LLM API key from any supported provider (https://docs.strix.ai/llm-providers/overview) (OpenAI, Anthropic, Google, etc.) ### Installation & First Scan bash # Install Strix curl -sSL https://strix.ai/install | bash # Configure your AI provider export STRIX_LLM="openai/gpt-5.4" export LLM_API_KEY="your-api-key" # Run your first security assessment strix --target ./app-directory > [!NOTE] > First run automatically pulls the sandbox Docker image. Results are saved to strix_runs/ — ## ☁️ Strix Platform Try the Strix full-stack penetration testing platform at app.strix.ai (https://app.strix.ai) - sign up for free, connect your repos and domains, and launch a pentest in minutes. - Validated findings with PoCs - every vulnerability includes a working proof-of-concept exploit and reproduction steps - One-click autofix - AI-generated security patches as ready-to-merge pull requests - Continuous pentesting - always-on vulnerability scanning that keeps pace with your deployments - DevSecOps integrations - GitHub, GitLab, Bitbucket, Slack, Jira, Linear, and CI/CD pipelines - Continuous learning - AI that builds on past findings, adapts to your codebase, and reduces false positives over time Start your first pentest → (https://app.strix.ai) — ## ✨ Features ### Agentic Pentesting Tools Strix agents come equipped with a comprehensive offensive security toolkit - the same tools used by professional penetration testers and ethical hackers: - HTTP Interception Proxy - Full request/response manipulation and analysis with Caido - Browser Exploitation - Automated browser for testing XSS, CSRF, clickjacking, and auth bypass flows - Shell & Command Execution - Interactive terminal for exploit development and post-exploitation - Custom Exploit Runtime - Python sandbox for writing and validating proof-of-concept exploits - Reconnaissance & OSINT - Automated attack surface mapping, subdomain enumeration, and fingerprinting - Static & Dynamic Code Analysis - SAST + DAST capabilities for comprehensive application security testing - Vulnerability Knowledge Base - Structured findings with CVSS scoring and OWASP classification ### Comprehensive Vulnerability Scanner Strix identifies, validates, and exploits a wide range of security vulnerabilities across the OWASP Top 10 and beyond: - Broken Access Control - IDOR, privilege escalation, auth bypass - Injection Attacks - SQL injection, NoSQL injection, OS command injection, SSTI - Server-Side Vulnerabilities - SSRF, XXE, insecure deserialization, RCE - Client-Side Attacks - XSS (stored/reflected/DOM), prototype pollution, CSRF - Business Logic Flaws - Race conditions, payment manipulation, workflow bypass - Authentication & Session - JWT attacks, session fixation, credential stuffing vectors - Infrastructure & Cloud - Misconfigurations, exposed services, cloud security issues - API Security - Broken authentication, mass assignment, rate limiting bypass ### Graph of Agents (Multi-Agent Pentesting) Advanced multi-agent orchestration for comprehensive automated penetration testing: - Distributed Pentesting - Specialized AI agents for recon, exploitation, and post-exploitation - Scalable Security Testing - Parallel execution across multiple targets for fast, comprehensive coverage - Dynamic Coordination - Agents share discoveries, chain vulnerabilities, and collaborate like a red team — ## Usage Examples ### Basic Usage bash # Scan a local codebase strix --target ./app-directory # Security review of a GitHub repository strix --target https://github.com/org/repo # Black-box web application assessment strix --target https://your-app.com ### Advanced Testing Scenarios bash # Grey-box authenticated testing strix --target https://your-app.com --instruction "Perform authenticated testing using credentials: user:pass" # Multi-target testing (source code + deployed app) strix -t https://github.com/org/app -t https://your-app.com # White-box source-aware scan (local repository) strix --target ./app-directory --scan-mode standard # Focused testing with custom instructions strix --target api.your-app.com --instruction "Focus on business logic flaws and IDOR vulnerabilities" # Provide detailed instructions through file (e.g., rules of engagement, scope, exclusions) strix --target api.your-app.com --instruction-file ./instruction.md # Force PR diff-scope against a specific base branch strix -n --target ./ --scan-mode quick --scope-mode diff --diff-base origin/main ### Headless Mode Run Strix programmatically without interactive UI using the -n/--non-interactive flag - perfect for servers and automated jobs. The CLI prints real-time vulnerability findings and the final report before exiting. Exits with non-zero code when vulnerabilities are found. bash strix -n --target https://your-app.com ### CI/CD (GitHub Actions) Strix can be added to your pipeline to run a security test on pull requests with a lightweight GitHub Actions workflow: yaml name: strix-penetration-test on: pull_request: jobs: security-scan: runs-on: ubuntu-latest steps: - uses: actions/checkout@v6 with: fetch-depth: 0 - name: Install Strix run: curl -sSL https://strix.ai/install | bash - name: Run Strix env: STRIX_LLM: ${{ secrets.STRIX_LLM }} LLM_API_KEY: ${{ secrets.LLM_API_KEY }} run: strix -n -t ./ --scan-mode quick > [!TIP] > In CI pull request runs, Strix automatically scopes quick reviews to changed files. > If diff-scope cannot resolve, ensure checkout uses full history (fetch-depth: 0) or pass > --diff-base explicitly. ### Configuration bash export STRIX_LLM="openai/gpt-5.4" export LLM_API_KEY="your-api-key" # Optional export LLM_API_BASE="your-api-base-url" # if using a local model, e.g. Ollama, LMStudio export PERPLEXITY_API_KEY="your-api-key" # for search capabilities export STRIX_REASONING_EFFORT="high" # control thinking effort (default: high, quick scan: medium) > [!NOTE] > Strix automatically saves your configuration to ~/.strix/cli-config.json, so you don’t have to re-enter it on every run. Recommended models for best results: - OpenAI GPT-5.4 (https://openai.com/api/) - openai/gpt-5.4 - Anthropic Claude Sonnet 4.6 (https://claude.com/platform/api) - anthropic/claude-sonnet-4-6 - Google Gemini 3 Pro Preview (https://cloud.google.com/vertex-ai) - vertex_ai/gemini-3-pro-preview See the LLM Providers documentation (https://docs.strix.ai/llm-providers/overview) for all supported providers including Vertex AI, Bedrock, Azure, and local models. ## Enterprise Pentesting Get the same Strix experience with enterprise-grade (https://strix.ai/demo) controls: SSO (SAML/OIDC), custom compliance-ready penetration testing reports (SOC 2, ISO 27001, PCI DSS), dedicated support & SLA, custom deployment options (VPC/self-hosted), BYOK model support, and tailored AI pentesting agents optimized for your environment. Learn more (https://strix.ai/demo). ## Documentation Full documentation is available at docs.strix.ai (https://docs.strix.ai) - including detailed guides for usage, CI/CD integrations, skills, and advanced configuration. ## Contributing We welcome contributions of code, docs, and new skills - check out our Contributing Guide (https://docs.strix.ai/contributing) to get started or open a pull request (https://github.com/usestrix/strix/pulls)/issue (https://github.com/usestrix/strix/issues). ## Join Our Community Have questions? Found a bug? Want to contribute? Join our Discord! (https://discord.gg/strix-ai) ## Support the Project Love Strix? Give us a ⭐ on GitHub! ## Acknowledgements Strix builds on the incredible work of open-source projects like LiteLLM (https://github.com/BerriAI/litellm), Caido (https://github.com/caido/caido), Nuclei (https://github.com/projectdiscovery/nuclei), Playwright (https://github.com/microsoft/playwright), and Textual (https://github.com/Textualize/textual). Huge thanks to their maintainers! > [!WARNING] > Only test apps you own or have permission to test. You are responsible for using Strix ethically and legally.