Self-Learning, Self-Defending Networks: Identifying Early-Stage Threats - Bea Gully

With machines fighting machines and increasingly sophisticated human attackers, we are entering a new era of cyber-threats. The battle is no longer at the perimeter but inside our organizations, and no security team can keep up with its speed. Skilled attackers may lie low for weeks and by the time they take definitive steps, their actions blend in with everyday network activity. These attacks call for a change in the way we protect our most critical assets.

Self-learning and self-defending systems are now being deployed to continually assess business environments. Known as 'immune system' defence, this approach uncovers threats that have already penetrated the network border, then automatically fights back. Unlike legacy approaches, which rely on rules or signatures, these machine learning technologies work autonomously, enable the security team to focus on high-value tasks, and can counter even fast-moving, automated attackers.

Why should I attend this session?
You will learn about:
* The new age of silent, stealthy attacks
* Why legacy approaches are proving inadequate on their own
* How 'immune system' technologies based on mathematics and machine learning are being deployed
* Real-world examples of unknown threats that routinely bypass traditional controls