Built by practitioners who have worked on AI security since late 2022.

How we got here

We started working on AI and offensive security shortly after ChatGPT launched in November 2022. Early on, two things were obvious: autonomous models were going to make patient, multi-step attacks cheap enough to point at every small business on the internet—and the exact same capability, pointed defensively at a company's own systems, could give a 30-person company the kind of scrutiny that used to cost fifty thousand dollars.

Rather than wrapping a commercial chatbot API or collecting client data into a training dataset, we took a different route. We run our own open-weight models, modify their weights directly for security analysis, and pair them with a testing harness and system prompts that we edit by hand whenever our reviewers uncover a new class of bug.

What we stand for

• Zero training on your data. We do not maintain a training dataset, and we never feed client traffic, credentials, or findings into any model training job.
• Predefined scope, enforced in code. We test only the domains you authorize in writing. If your site links out to an ERP, a forgotten server, or a third-party vendor, our scope filter never probes it—we simply note the link under “Observed, Not Tested” in your report.
• Proof beats noise. Every finding is checked by a human reviewer and includes the evidence and fix instructions. If we can't prove it, it isn't in the report.
• An engagement that finishes. Fixed scope, fixed price, time for your team to fix, one complimentary re-scan, and a signed 1-page Letter of Attestation you can hand to customers, cyber insurers, or SOC 2 auditors.

Leadership & reviewer credentials

Alessandro Ravelli (Principal Reviewer & Founder, OSCP, GWAPT, CISSP) leads our reviews and signs every Letter of Attestation. Our engagements are independent—we never sell remediation software or dev hours—and we carry technology errors & omissions (E&O) and cyber professional liability coverage across North America.

(Note: Founder name, credential badges, office suite numbers, and the client roster below are structured placeholders in lib/site.ts ready to be swapped with final details.)