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How to achieve autonomous (and optimized) hunting and detection

  • Thursday, September 13, 2018 at 10:30 AM EST (2018-09-13 14:30:00 UTC)
  • Alex Vaystikh, Matt Bromiley


  • SecBI

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Network traffic analysis provides the best visibility and coverage of the possible attack surface, and remote attacker dwell environment. It is extremely hard to analyze this data as it is extremely large, ever-changing, and represents servers, laptops, smart appliances, IoT, and everything in between.

In this session you will learn how to analyze this data using advanced machine learning that mimics human analysts at machine speed, what type of machine learning is required to achieve this, and will speed up your detection, investigation, and hunting operations.

Speaker Bios

Alex Vaystikh

As a co-founder and CTO of SecBI, Alex Vaystikh is the innovator behind the full scope incident model. A cybersecurity veteran with considerable expertise in applied research and product development, Alex experienced the hardship of the lack of advanced breach tools while at RSA. Joining RSA upon acquisition of Cyota, he built the company’s advanced reverse engineering lab for financial malware and crimeware. He also served as the company’s Principal Research Scientist, where he led the development of innovative machine learning on big data solutions for the company’s cyber security products. Alex holds 15 patents in security hardening, machine learning, network analysis, data obfuscation, and published numerous peer reviews. Alex served in the IDF military Intelligence Corps.

Matt Bromiley

Matt Bromiley is a SANS digital forensics and incident response (IR) instructor, teaching FOR508 Advanced Incident Response, Threat Hunting, and Digital Forensics and SANS FOR572 Advanced Network Forensics: Threat Hunting, Analysis, and Incident Response. He is also an IR consultant at a global IR and forensic analysis company, combining experience in digital forensics, log analytics, and incident response and management. His skills include disk, database, memory and network forensics; incident management; threat intelligence and network security monitoring. Matt has worked with organizations of all shapes and sizes, from multinational conglomerates to small, regional shops. He is passionate about learning, teaching and working on open source tools.

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