Dissolve your attack surface._
An AI-native penetration testing engine for web applications and APIs. Point it at a target. Watch it think, adapt, and find what others miss.
Korrosiv.AI is an AI-native, AI-first automated penetration testing engine.
It doesn't scan for known signatures or run scripted checks. It thinks like a pentester, analyzing application logic, chaining vulnerabilities, and adapting its approach in real time.
Built by pentesters who understood that the future of offensive security isn't more tools, it's smarter ones.
Every attack vector is methodical and targeted. We don't brute force, we dissolve.
Built by pentesters, for pentesters. The platform respects its audience's expertise.
Corrosion is not chaos, it's chemistry. Every test is deliberate and documented.
Traditional penetration testing is a point-in-time exercise. You engage a team, wait weeks for availability, then receive a report that reflects the application as it existed during a narrow testing window.
Meanwhile, your development team ships daily. New features, new endpoints, new attack surface, all deployed between the time a finding is documented and the time it's read. The report is outdated before the ink dries.
Manual human-led pentests aren't scaling to the speed of modern development. The vulnerability lifecycle has compressed from months to hours, but the testing model hasn't changed in a decade.
Pentest engagement begins
Manual testing in progress
Report delivered
Dev team shipped 47 deployments, 12 new API endpoints, and 3 major features, all untested
The average web application receives multiple updates per week. A quarterly pentest covers less than 2% of the changes shipped.
Full-stack analysis of web applications, testing authentication flows, session management, and probing business logic the way a human pentester would.
Automated discovery and exploitation of REST and GraphQL endpoints. Broken auth, injection, mass assignment, tested systematically.
Not a scanner with an AI label. The AI is the pentester, reading responses, adapting payloads, and chaining findings like a senior consultant.
Every finding includes reproduction steps, evidence screenshots, impact analysis, and remediation guidance your team can act on immediately.
Watch the AI work through a live dashboard. See endpoints discovered, tests executed, and vulnerabilities found, as they happen.
Built with guardrails. Scoped testing, controlled exploitation, and full audit trails. Offensive capability with defensive discipline.
On an internal infrastructure engagement, a spreadsheet of legacy credentials turned up on a file share. One string kept recurring, a string that looked completely random. No dictionary match, no known pattern. A human pentester moves on.
AI didn't. It identified the string as a keyboard walk pattern, recommended adding it to the active password spray, and that single insight corroded through layers of vendor defences into full domain compromise.
In a typical human-led pentest, AI reasons on roughly 5-20% of the engagement context. The rest gets skimmed or missed under time pressure. If that number reaches 100%, the outcomes change completely.