Proof, not marketing.
The engineering record.
How we think about autonomous security testing — the verification system, the benchmark journey with its caveats intact, and the failure autopsies that made the product honest.
Why Autonomous Pentesting Needed a Reset
Most AI pentest tools are scanners with a language model on top. Here's what actually separates a scanner from a researcher — and why verification comes first.
Read the post →The Benchmark Journey: What 104 Deliberately Vulnerable Apps Taught Us
Expectations vs reality on a public pentest benchmark — why orchestration beat model quality, what the last 15% looks like, and the numbers we insist you read with caveats.
Read the post →How We Verify: Confidence Tiers, Deterministic Proof, and the Human Gate
Every OctaSec finding carries a confidence tier backed by deterministic evidence — and a named human signs every report. Here's exactly how the system works.
Read the post →How AI Agents Actually Fail at Pentesting: A Failure-Mode Taxonomy
We autopsied eight benchmark applications that defeated strong models. The failures weren't knowledge gaps — they were decision-point failures. Here's the taxonomy and the fixes.
Read the post →One finding pays for the engagement.
Book a 30-minute scoping call — if a scanner is enough for you, we'll say so.