Session title: The Enterprise Immune System: Using Machine Learning for Next-Generation Cyber Defence

From insiders to sophisticated external attackers, the reality of cyber security today is that the threat is already inside. A fundamentally new approach to cyber defence is needed to detect and investigate these threats that are already inside the network – before they turn into a full-blown crisis.

Based on unsupervised machine learning and probabilistic mathematics developed by specialists from the University of Cambridge, new ‘immune system’ technologies are capable of learning the ‘self’ of an organization. By analysing every network, device, and user, and modeling them as they go about their day-to-day activity, the Enterprise Immune System can establish a highly accurate understanding of normal behavior. It can therefore spot abnormal activity as it emerges, and even take precise, measured actions to automatically curb the threat.

Rules and signatures are not keeping pace with today’s rapidly evolving cyber-attacks. The Enterprise Immune System represents a fundamental step-change in automated cyber defence. It is relied upon by organizations around the world, and can cover up to millions of devices.

In this session, learn:

  • How new machine learning and mathematics are automating advanced cyber defence
  • Why 100% network visibility allows you to detect threats as they happen, or before they happen
  • How smart prioritisation and visualization of threats allows for better resource allocation and lower risk
  • Real-world examples of unknown threats detected by ‘immune system’ technology
Dave Palmer, Director of Technology Biography:

Dave Palmer is a cyber security technical expert with over ten years’ experience at the forefront of government intelligence operations. He has worked across UK intelligence agencies GCHQ and MI5, where he delivered mission-critical infrastructure services, including the replacement and security of entire global networks, the development of operational internet capabilities and the management of critical disaster recovery incidents. At Darktrace, Dave oversees the mathematics and engineering teams and product strategy. He holds a first class degree in Computer Science and Software Engineering from the University of Birmingham.