Shannon

Table of content

autonomous AI security hacker that finds real exploits in web apps.

what it does

Shannon is a fully autonomous penetration testing agent. you point it at a web app, it hunts for vulnerabilities, exploits them, and proves they work.

96.15% success rate on the XBOW benchmark (hint-free, source-aware security testing).

why it matters for self.md

this is the shift from “security tools” to “security organisms.”

you don’t prompt Shannon with “find SQL injection here.” you deploy it and it goes hunting. no human in the loop.

if your AI can steal API keys via Docker, someone else’s AI can find the exploit that makes Docker accessible.

the pattern

autonomous → no human prompting required
adaptive → learns from failed attempts
predatory → actively hunts for vulnerabilities

we’re not building tools. we’re building predators.

use cases

implications

when security testing becomes autonomous, the question shifts from “did we test this?” to “what didn’t the agent find?”

parasites hunting parasites.

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repo: github.com/KeygraphHQ/shannon
first seen: 2026-02-12 radar