Business leaders in the digital age face remarkably urgent risk factors in an era of automated and fast-moving cyber-threat – from the theft and manipulation of critical data, to the staggering losses caused by interruption to the business. These risks have heightened dramatically in recent years as threats develop and become more advanced, and as digital businesses continue to grow in complexity, diversity, and scale.
The fact is that targeted attacks will inevitably get inside, and so the industry’s attention has shifted to the question of how defenders can be equipped to detect and respond to emerging threats that are already inside the business, but that can be handled before they become a crisis. And as in many other areas plagued by digital complexity, business leaders and security teams have ultimately turned to artificial intelligence to keep pace.
Learning outcomes:
- Learn how the increasing frequency of novel external attacks and insider threats, together with the exploding complexity of the digital estate, have gradually disarmed security teams who still rely on traditional controls
- Discover how self-learning Cyber AI is able to learn the normal ‘pattern of life’ for individual businesses, and detect the subtle deviations indicative of a threat.
- Learn how Autonomous Response technology has evolved to not only detect but also intelligently fight back against in-progress attacks before they can make an impact.