AI penetration testing

Real offensive testing, not a checkbox.

For production SaaS, API-heavy systems, and cloud-connected apps that need meaningful adversarial coverage: AI-driven exploitation, confirmed by human operators.

What it covers

Depth scaled to your system.

Deep manual exploitation

AI-driven exploitation across your surface, plus novel-vulnerability research, confirmed by human operators, not a raw scanner dump.

Cloud + identity attack paths

Privilege-escalation and multi-step chains across cloud, app, and identity, validated end to end.

Fix-ready proof

Reproduction, impact, severity, and remediation guidance, with a retest. Proof, not a longer list.

Pricing: Delivered within a Continuous engagement (from $2,000/wk) or scoped as a fixed engagement. Book a call. See pricing → for the published continuous and audit rates.
FAQ

Common questions.

What makes this AI-powered pentesting different?

We use AI to drive broad, fast exploitation across your attack surface, then human operators confirm what’s actually exploitable and strip the noise. You get the coverage of automation with the judgment of a real pentester, not a raw scanner dump.

Can it find new vulnerabilities, not just known CVEs?

Yes. Alongside exploiting known issue classes, our AI security researcher hunts for novel, previously-unseen vulnerabilities specific to your system, and human operators validate every one before it lands in your report.

How is it priced?

Delivered within a Continuous engagement (from $2,000/wk) or scoped as a fixed engagement. Book a call. Continuous retainers and the fixed-fee Audit Security Test have published prices on the pricing page; anything broader is scoped on a call.

Is this just a scanner with marketing?

No. Scanners produce a list of maybe-vulnerabilities. We chain findings into real attack paths, validate exploitability by hand, and deliver reproduction steps. The difference is proof, not a longer list.

Find out what’s actually exploitable.

Send the system and the scope, and we’ll tell you honestly what we can prove.