Watson

AI has made shipping a web app a weekend project. The security didn’t come for free. Vibe-coded apps go live fast, with injectable endpoints, broken auth, and known-vulnerable dependencies nobody audited. The people shipping them can’t read a CVE feed or hand-probe their own stack, and a real pentest costs more than the app did. Watson is an autonomous AI penetration tester for web apps you own. It runs the loop a human expert would: it fingerprints the target (7.6k signatures, plus vision-based recon in a real browser), correlates every detected technology and version against a live knowledge base : CISA KEV, NVD, EPSS, ExploitDB, MITRE ATT&CK, and, only when authorized, fires the exact probe that confirms or refutes each hypothesis. It records a finding only when a concrete observation backs it, with where it is, how to fix it, and the request to re-prove it. Meta models run the whole system: Muse Spark drives the reasoning-and-vision investigation loop, SAM 3.1 segments the UI for vision-guided interaction, and Muse Voice powers the console’s voice input. Every run is scope-gated, secret-redacted, and fully audited, ending in a ranked report with a CVSS score and a written attack narrative.