The Era of Autonomous AI Hackers is Here: Meet Shannon ⚡️As a systems analyst, I'm always tracking where AppSec is heading.

[dannyhayes@misskey.arcverum.ru]

The Era of Autonomous AI Hackers is Here: Meet Shannon ️

As a systems analyst, I'm always tracking where AppSec is heading. We’re moving away from static scanners toward autonomous agents that "think" like red-teamers.

Shannon is a prime example. It’s an AI agent by Keygraph that doesn't just flag "potential issues" — it finds and executes actual exploits without any human hints.

Why it’s impressive:

- 96.15% Success Rate: Achieved on the hint-free XBOW Benchmark (white-box mode).
- Behavioral Analysis: It maps data flows and builds attack hypotheses instead of just matching patterns.
- Proof-of-Exploit: If it reports a bug, it provides a reproducible PoC. No more wasting time on false positives.
- Modern Stack: Handles complex OAuth flows, 2FA, and can be integrated into CI/CD via Docker.

My Take: For those of us in DevOps/Self-hosting, this is a double-edged sword. While it’s a godsend for daily automated pentesting, it also means the "script kiddies" of tomorrow will be replaced by AI agents that don't sleep and scale infinitely.

Source: github.com/KeygraphHQ/shannon
Via: LinuxKalii

#Infosec #AppSec #AI #CyberSecurity #OpenSource #RedTeaming