Andrew Tsonchev

Andrew Tsonchev

Company: Darktrace

Job Title: Director of Technology, Darktrace Industrial

Andrew oversees Darktrace’s OT security offerings, providing cyber defense solutions for industrial environments. Andrew has worked extensively across all aspects of Darktrace's technical and commercial operations, and advises Darktrace’s strategic Fortune 500 customers on advanced threat detection, machine learning and autonomous response. Andrew has a technical background in threat analysis and research, and holds a first-class degree in physics from Oxford University and a first-class degree in philosophy from King’s College London.

Andrew Tsonchev Seminars

  • AI-Based Autonomous Response: Are Humans Ready?  Wed 26th Sep 11:30 - 12:00

    AI-Based Autonomous Response: Are Humans Ready? 

    Global ransomware attacks like WannaCry already move too quickly for humans to keep up, and even more advanced attacks are on the horizon. Cyber security is quickly becoming an arms race — machines fighting machines on the battleground of corporate networks. Algorithms against algorithms.

    Artificial intelligence-based cyber defense can not only detect threats as they emerge but also autonomously respond to attacks in real time. As the shortage of trained cyber analysts worsens, the future of security seems to be automatic. But are humans ready to accept the actions machines would take to neutralize threats? In this presentation, we will discuss our lessons learned and explore several use-cases in which autonomous response technology augmented human security teams.

    Speaker

    Andrew Tsonchev

    Andrew Tsonchev

    Time / Place

    Wed 26th Sep 11:30 to 12:00

    The Keynote

  • The Industrial Immune System: Using Machine Learning & AI for OT Cyber Defense Thu 27th Sep 09:30 - 10:00

    The Industrial Immune System: Using Machine Learning & AI for OT Cyber Defense

    There is an urgent need for a new approach to combat the next generation of cyber-threats, across both OT and IT environments. While total prevention of compromise is untenable, utilizing automated self-learning technologies to detect and respond to emerging threats within a network is an achievable cyber security goal, irrespective of whether the suspicious behavior originated on the corporate network or ICS.

    Speaker

    Andrew Tsonchev

    Andrew Tsonchev

    Time / Place

    Thu 27th Sep 09:30 to 10:00

    IoT Security Theatre

Top