INsecurity is for the defenders of enterprise security—those defending corporate networks—and will offer real-world case studies, peer sharing and practical, actionable content for IT professionals grappling with security concerns. To learn more about the event, see the conference overview.

Roundtables are not listed in this agenda; head to the Roundtable page to see the schedule and topics for those.

View, browse and sort the list of sessions by pass type, track, and format. With this Session Scheduler, you can build your schedule in advance and access it during the show via export or with the Mobile App. Sessions do fill up and seating is first come, first serve, so arrive early to sessions that you would like to attend. Check back as we add more sessions soon.

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  • Unsupervised Machine Learning: A New Approach to Cyber Defense - Presented by Darktrace

    Speaker:
    Location:  Business Hall Theater
    Session Type: Business Hall Theater Session
    Vault Recording: TBD

    From insiders to sophisticated external attackers, the reality of cyber security today is that the threat is already inside. Legacy approaches to cyber security, which rely on knowledge of past attacks, are simply not sufficient to combat new, evolving attacks, and no human cyber analyst can watch so much or react quickly enough. A fundamentally new approach to cyber defense is needed to detect and investigate these threats that are already inside the network - before they turn into a full-blown crisis.

    Self-learning systems represent a fundamental step-change in automated cyber defense, are relied upon by organizations around the world, and can cover up to millions of devices. Based on unsupervised machine learning and probabilistic mathematics, these new approaches to security can establish a highly accurate understanding of normal behavior by learning an organization's 'pattern of life,'. They can therefore spot abnormal activity as it emerges and even take precise, measured actions to automatically curb the threat.

    Discover why unsupervised machine learning is the future of defense and how the 'immune system' approach to cyber security provides complete network visibility and the ability to prioritize threats in order to better allocate time and resources.

    In this session, learn:
    • How new machine learning and mathematics are automating advanced cyber defense
    • Why full network visibility allows you to detect threats as or before they emerge
    • How smart prioritization and visualization of threats allows for better resource allocation and lower risk
    • Real-world examples of unknown threats detected by 'immune system' technology