The Promise and the Perils of Machine Learning and Automating Cybersecurity

Presented by

John Bambenek, Threat Systems Manager, Fidelis Cybersecurity

About this talk

Those defending against cyberattacks are overwhelmed by the shear volume of incidents to respond to. It is so bad that it has been said there may be as many as 1 million unfilled cybersecurity jobs. Machine learning and automation is often heralded as a way to deal with this problem so that many incidents can be dealt with requiring pressing a button. While there is much promise is machine learning there are also many perils that need to be considered. Attackers know how we defend ourselves and they do use our defenses against us. This talk will cover some of the open-source tools and techniques available for organizations to use to defend themselves while keeping in mind how attackers could undermine our efforts.

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