Ten years ago, security leaders couldn’t wait to tell you about their cutting edge use of Linux – nowadays, that’s considered table stakes. Today, the big buzzwords are AI and machine learning – and for good reason. With the computational power we have today, we can apply straightforward math tricks to data and surface insights that are not only interesting and valuable but also may not have been possible five or ten years ago – helping us become faster, more effective and increasingly innovative in our approach to defending systems from the evolving threat landscape we face today.
While the excitement around machine learning is deserved, Tom believes that much like Linux, it will eventually be something everyone in security is doing. In this webcast, Tom will outline how machine learning fits into the broader cyber security toolbox as a tool to augment – not replace – security teams, surfacing data-based insights and automating mundane, time-consuming tasks to free up precious security analysts time. He’ll also include key learnings from Adobe that security organizations should keep in mind as they explore machine learning, including the type of talent needed to succeed and the importance of good data.