AI Pentesting - Enterprise
Active Testing tells you something looks exploitable. AI Pentesting proves it - sandboxed runs of sqlmap, dalfox, ffuf, nuclei, and jwt_tool attempt real exploitation against targets your scan already found, and every confirmed finding carries the exact request and response that proved it.
Security Score
Confirmed exploitable - act now
portal.example.com
just now
SQL injection confirmed via login form
POST /login {"email":"' OR 1=1--"} -> authenticated as admin
Reflected XSS confirmed on /search
?q=<script>alert(document.domain)</script> -> executed
2 checks inconclusive - WAF blocked probes
Labelled inconclusive, not a false clean result
AI Summary
One confirmed SQL injection grants full authentication bypass - remediate before the next scheduled scan. A reflected XSS on the search page and two WAF-blocked checks are also included with full proof-of-exploit evidence.
A fixed toolkit, not an AI improvising attacks
Targets are derived from findings your scan already produced - reflected-input findings, discovered API endpoints, forced-browsing hits, crawled login forms and JWTs - never improvised by an LLM mid-scan. That's what makes informed consent meaningful and every run reproducible.
SQL injection
Every GET parameter and login/contact form your scan found gets tested for real SQL injection - not just a suspicious-looking pattern match.
Cross-site scripting
Confirms reflected-input findings are actually exploitable XSS, with the exact payload and response that proved it.
Hidden parameters
Fuzzes for undocumented parameters your scan wouldn't otherwise know to test - the ones a form or API never advertised.
Exposure & misconfiguration
Deepens the exposures your scan already flagged, checking for known misconfiguration signatures a passive check can't confirm alone.
JWT weak secrets
Offline cracking against any JWT-shaped token discovered while crawling - never a live tamper-and-replay attempt.
Real exploitation, safely contained
Every run happens in a fresh Daytona sandbox, destroyed afterwards - nothing persists between scans or between customers.
Each sandbox's network access is scoped to only the domain being tested - it cannot reach anything else, by construction, not just by policy.
AI Pentesting requires its own consent checkbox on top of Active Testing's - a deliberate second attestation, since this is real exploitation, not observation.
Scored and reported on its own
AI Pentesting
Sandboxed runs of sqlmap (SQL injection, including login forms), dalfox (XSS), ffuf (hidden parameter discovery), nuclei (exposure & misconfiguration deepening), and jwt_tool (JWT weak-secret cracking) against targets your scan already flagged - a fixed toolkit, not an AI improvising attacks.
AI Pentesting
Every confirmed finding carries the exact request and response that proved it, not just a plausible-looking signal - and results that were blocked or inconclusive (a WAF, a TLS handshake failure) are labelled as such rather than shown as a false clean or false positive.
AI Pentesting
Each run happens in an ephemeral, isolated sandbox with network egress scoped to only the domain being tested. Requires its own explicit consent checkbox on top of Active Testing's - real exploitation attempts, not passive observation.
AI Pentesting
Computed only from confirmed pentest findings and shown alongside - never blended into - your overall security score and your Active Testing Score, so you can see exactly what real exploitation attempts found.
AI Pentesting
A dedicated, auditor-ready PDF scoped to pentest results only - proof-of-exploit evidence included - separate from both your main report and your DAST report.
AI Pentesting
The Pentest Report PDF is bundled into the same audit evidence ZIP export as your main and DAST reports, ready to hand to an auditor without hunting down a third download.
Pricing
Everything in Pro, plus Active Testing and AI Pentesting, at a fraction of what a manual pentest engagement costs.