April 22, 2020

"Batea": Unsupervised Machine Learning, Penetration Testing and Intuition

Intuition, acquired through years of experience, is what sets experts apart from novices. Intuition is the ability to look at a large amount of information, quickly spot interesting items, and dismiss the rest. In the case of security audits, intrusion testers typically face hundreds - or even thousands - of assets early in an engagement. Their ability to  focus on priority targets can save dozens of valuable hours. Yet only the most experienced pen testers can do this confidently and effectively...those with intuition developed over years of accumulated experience. This talk will demonstrate how to use effective and modern machine learning methods to sift through mountains of network data to very quickly narrow down the scope to interesting, valuable and sometimes odd targets: the gold nuggets. In short, we’ll be demonstrating a substitution of machine learning for human intuition.

The presentation will be led by our own Lead AI Researcher, Serge-Olivier Paquette at Bsides Cyber Security Conference in Vancouver on April 22nd.

To learn more about "Gold Nuggeting" and DelveAITM, download our white paper, Automating Intuition: Applying Machine Learning to Outstanding Network Asset Detection, or contact us at [email protected]

To try Batea right now using our trained model:

To train your own model or to contribute to the project: