westonbrown/Cyber-AutoAgent
Autonomous AI agent that conducts penetration testing using natural language reasoning and multi-step planning.
Not currently ranked — collecting fresh signals.
star history
Cyber-AutoAgent is an experimental autonomous agent system designed for offensive cybersecurity operations. It performs black-box penetration testing and security assessments through multi-step reasoning and tool use. The agent achieved 85% on the XBOW validation benchmark and supports integration with various security tooling while operating autonomously in sandboxed environments.
Frequently asked
- What is westonbrown/Cyber-AutoAgent?
- Autonomous AI agent that conducts penetration testing using natural language reasoning and multi-step planning.
- Is Cyber-AutoAgent open source?
- Yes — westonbrown/Cyber-AutoAgent is open source, released under the MIT license.
- What language is Cyber-AutoAgent written in?
- westonbrown/Cyber-AutoAgent is primarily written in TypeScript.
- How popular is Cyber-AutoAgent?
- westonbrown/Cyber-AutoAgent has 535 stars on GitHub.
- Where can I find Cyber-AutoAgent?
- westonbrown/Cyber-AutoAgent is on GitHub at https://github.com/westonbrown/Cyber-AutoAgent.