What is Shannon?

Shannon is an AI pentesting tool that autonomously finds and exploits security vulnerabilities in web applications. Unlike traditional security scanners that just alert you to potential issues, Shannon actually executes exploits to prove the vulnerabilities are real. It’s built on top of Anthropic’s Claude Agent SDK and achieved a 96% success rate on security benchmarks, outperforming both human pentesters and other AI systems.

The tool works by analyzing your codebase, hunting for attack vectors, and using a built-in browser to execute real exploits like SQL injection, cross-site scripting, and authentication bypass. It can write scripts, run security tools, and interact with your system to test whether vulnerabilities are exploitable. This makes it faster and more thorough than manual testing.

What makes Shannon different is that it’s fully autonomous. You point it at your application and it does the work of a professional pentester without you having to guide it through each step. It integrates with Claude Code, which makes it easy to prototype exploits and analyze results in the same environment where you’re already working.

Shannon is open source, created by KeygraphHQ and available on GitHub. The fact that it can autonomously find and exploit vulnerabilities has made some people in the cybersecurity industry nervous about what happens when these tools become widely available.

I haven’t used Shannon yet, but I can’t wait to point it at all of my sites.