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Most security tools find problems. Shannon exploits them. That’s not marketing — it’s the architecture.

Keygraph’s Shannon is a white-box AI pentester that reads your source code, maps every attack vector, then fires real payloads against your running app. SQL injection, XSS, SSRF, auth bypass — if it can’t actually break in, it doesn’t report it. Zero false positives by design.

35K+ GitHub stars. Trending #5. Over 3,100 new stars in a single day. The AppSec community noticed.

How Shannon Actually Works

Think of it as a 13-agent red team that never sleeps. Built on Anthropic’s Claude, Shannon mirrors a real pentest workflow across five phases: reconnaissance, vulnerability analysis, exploitation, and reporting — with phases running in parallel where possible.

Phase 1 is pure static analysis. Shannon reads your codebase, maps authentication systems, database access patterns, input handling. Then five specialized agents — Injection, XSS, SSRF, Auth, and Authz — each probe their domain simultaneously. When one finds something, the corresponding exploit agent fires immediately. If a domain comes back clean, the exploit agent skips entirely.

The result: a working proof-of-concept for every finding. Not a warning. Not a “might be vulnerable.” A reproducible exploit.

The Benchmark Gap Is Brutal

On the XBOW benchmark — 104 intentionally vulnerable web apps designed to test AI security agents — Shannon completed 100 out of 104 exploits in hint-free mode. 96.15%.

Commercial DAST tools like Burp Suite and ZAP typically score 30-40% on comparable evaluations. That’s not a small gap. That’s a different category.

Against OWASP Juice Shop, Shannon uncovered 30+ distinct flaws including complete authentication bypass and full database exfiltration. A full scan runs about $40-55 in Claude API credits. Burp Suite Pro costs $475/year and still needs a human to do the actual exploitation.

Open-Source Core, Pro Stack

Shannon Lite ships under AGPL-3.0 — the full autonomous pentesting engine, open-source. Shannon Pro bundles SAST, SCA, secrets scanning, and business logic testing into one correlated platform, replacing the typical five-tool AppSec stack.

The industry spent years debating whether AI could do real pentesting. Shannon just put up a 96% score and moved on. The new question is simpler: how many manual assessments does this replace — especially when most companies can’t hire enough pentesters to begin with.

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