Home Grown Machine Learning Implementation for the SOC

  • TYPE: Session DATE: Tuesday, June 02, 2020 TIME: 14:40-15:00
Conference Agenda

The machine learning deployment, integration, and release pipeline is unique and unlike any typical software, application or detection life cycle. A SOC has a blend of infrastructure, team dynamics, disparate logs and data sets, a SEIM, ticketing systems and a need for analytics to better serve and improve their defenses, cyber security posture and incident response. Proper implementation of using machine learning for cyber security defenses can be done with both team and engineering integrations. This talk will walk through an example of machine learning implementation for the SOC in an enterprise environment with lessons learned and best practices. 


Speaker:

Brennan is a self-proclaimed data nerd. He has been working in the financial industry for the past 10 years and is striving to save the world with a little help from our machine friends. He has held cyber security, data scientist, and leadership roles at JP Morgan Chase, the Federal Reserve...


Moderator:


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Virtual Event

Cybersecurity & Enterprise Risk Management

Language:
English
Contact person:

Mr. Levent Kara
+49 211 23707710
lk@kuppingercole.com
  • Jun 02, 2020 9am - 3pm CEST
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