Meet the world’s first AI-powered mobile app pentester

If you think about it, our phones have become vaults for our entire lives - our money, our messages, our health data, even our work. That’s exactly why attackers love mobile apps. And it’s why mobile app pentesting has always been such a critical part of security.

Why mobile app pentesting matters

Mobile apps are a mix of APIs, SDKs, device permissions, and user data all interacting in unpredictable ways. A single weak link like insecure storage, an exposed API key, or a broken authentication flow can lead to serious breaches. Pentesting helps you find those weak spots before someone else does.

The old way: manual, slow, and expensive

Mobile pentests have always been manual. A human expert pulls apart the app, inspects the code, intercepts traffic, and maps out attack paths. It’s real craftsmanship but it’s slow, costly, and only captures a moment in time. By the next release, everything’s changed.

The new way: Shinobi automates it

That’s what led us to build the first AI-powered mobile app pentester. Instead of waiting weeks for a manual test, Shinobi runs continuously, analyzing the app’s code and behavior just like a human pentester would…. only faster.

Here’s how it levels up testing:

• Understands the app like an attacker – Shinobi maps out how the app interacts with APIs and permissions to uncover real attack paths.

• Crafts and executes real exploits – It doesn’t stop at “possible issue detected.” It actually builds and runs attack chains to prove what’s exploitable.

• Gives clear, prioritized findings – Returns context-rich findings that explain what’s wrong, how it’s exploitable, and exactly how to fix it.

• Works at the speed of development – Enables testing every app release automatically, not once a year.

Why it matters

With Shinobi, mobile pentesting goes from a once-a-quarter box-check to a continuous process built right into development. This approach provides quicker feedback, and keeps findings aligned with the latest code changes.