Using Machine Learning, Deep Learning and Artificial Intelligence for Cybersecurity

A new wave of machine learning, deep learning, and artificial intelligence technology promises to help IT security operations teams detect cyber threats sooner and respond to them more quickly. But machine learning/Deep Learning/AI are used in a wide variety of ways, and not all machine learning-based products work in the same fashion. They all solve the problem in an extremely unique and varied way. In this webinar, experts will discuss the ways that machine learning can help in security operations, how it can speed threat analysis, and how to evaluate and choose technologies that will work in your organization.

Available:
On Demand
Duration:
1h 00min

Attend this webinar and you'll:

  • Learn about the latest innovations in deep learning, machine learning and AI in security
  • Find out about the distinction on how these tools work
  • Walk away with ideas on how you can implement some of these technologies in your SOC
  • Get advice on how to evaluate tools and vendors in an evolving space

Featured Speakers

  • Jason Clark
    Jason Clark
    Independent Security Researcher

    Dr. Jason Clark is a subject matter expert in cyber security with more than 15 years of real-world experience within the intelligence community, academia, and industry. His main area of interest is researching and analyzing better methods to detect, deter, and mitigate insider threats. He helped develop insider threat programs while also helping to improve already mature programs. Jason also holds a CISSP and is a member of IEEE and ACM. He has served on a number of program committees and has presented his published work at a variety of conferences around the world. Jason completed his doctorate in Information Technology at George Mason University with a focus on cyber-crime under the advisement of Dr. Damon McCoy. He also holds two Master’s degrees in Information Technology from Rensselaer Polytechnic Institute (RPI) and Computer Forensics from George Mason University. He holds a Bachelor of Science from Syracuse University in Information Technology & Management with a minor in Economics.

  • Shimon N. Oren
    Shimon N. Oren
    VP of Research & Deep-Learning
    Deep Instinct

    Shimon N. Oren is VP of Research & Deep-Learning at Deep Instinct. Prior to joining Deep Instinct in 2016, Shimon served for 14 years as an officer in the Israel Defense Force's elite cyber unit. Shimon’s background includes a wide range of cyber security and research positions, where he managed multifunctional teams of hackers, researchers and engineers. Over the years Shimon has worked extensively with a variety of industry, defense and intelligence partners and agencies in North America and Europe. He is a recipient of the President of Israel Award for Outstanding Military Service, holds a B.Sc in Electrical Engineering and a graduate degree in Finance and Tech Management.

  • Terry Sweeney
    Terry Sweeney
    Moderator
    Dark Reading

    Terry Sweeney is a Los Angeles-based writer and editor who's covered business technology for three decades. He's written about cyber security for more than 15 years and was one of the founding editors of Dark Reading. Sweeney has covered enterprise networking extensively, as well as its supporting technologies like storage, wireless, cloud-based apps and the emerging Internet of Things. He's been a contributing editor to The Washington Post, Crain’s New York Business, Red Herring, Information Week, Network World, SearchAWS.com, and Stadium Tech Report.

Sponsored By