What is AI fuzzing? And why it may be the next big cybersecurity threat

Pairing artificial intelligence or machine learning with traditional fuzzing techniques creates a powerful tool to find application or system vulnerabilities — for both researchers and cyber criminals.

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AI fuzzing definition

AI fuzzing uses machine learning and similar techniques to find vulnerabilities in an application or system. Fuzzing has been around for a while, but it's been too hard to do and hasn't gained much traction with enterprises. Adding AI promises to make the tools easier to use and more flexible.

That's a good news, bad news kind of situation. The good news is that enterprises and software vendors will have an easier time finding potentially exploitable vulnerabilities in their systems so they can fix them before bad guys get to them.

The bad news is that the bad guys will have access to this technology as well and will soon start to find zero-day vulnerabilities on a massive scale. Australian tech consultancy Rightsize Technology named it one of the top ten security threats of 2019.

How fuzzing works

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