In order to fully assess a client website, it needs to be first fully mapped and scanned--with all links, forms, APIs, etc. discovered. Currently, a lot of human time and resources are dedicated to these tasks. Using ML, we could potentially speed up this process even more, further decreasing time to value for our clients.
There is no doubt that AI and ML offer major advantages for modern cybersecurity applications compared to older, automated versions. The ability for applications to learn based on experience and use the knowledge to inform their behavior when confronted with similar issues in the future delivers a significant benefit.
WhiteHat is positioned extremely well to capitalize on recent developments in ML. ML allows us to make sense of the data, train a set of expert networks on this data, and then use these networks to supplement our human element.
WhiteHat Scout is a fully automated static analysis product to develop secure software from the start for successful DevOps implementations.