Built by practitioners, for practitioners.
IntrudR is an AI-native penetration testing platform built for security teams and pentesters who want to move faster. We automate the tedious parts — recon, enumeration, vulnerability discovery — so you can focus on what machines can't do: understanding context, chaining exploits, writing reports that actually matter.
We're not trying to replace security engineers. We're trying to make one engineer feel like a team of five.
IntrudR was founded by Mossab Mirande-Ney, a security researcher and full-stack developer who spent years doing manual pentests and getting frustrated by the gap between available tooling and real-world needs.
Too many tools are either too noisy (thousands of findings, 90% false positives) or too narrow (great at one thing, useless for the rest of the engagement). IntrudR is an attempt to build the platform he wished existed — opinionated, fast, and built around how pentesters actually work.
Every scan requires explicit user confirmation of authorization. We log targets, enforce scope, and cooperate with law enforcement. No grey zones.
All AI models run on our own infrastructure. Your scan data never reaches a third-party API. EU-hosted, GDPR-compliant by default.
We publish our disclosure policy, our data retention timelines, and our limitations. We don't oversell what automated tooling can do.