The Science Behind the Hype: Machine Learning in Endpoint Security

  • Thursday, 26 Oct 2017 10:30AM EST (26 Oct 2017 14:30 UTC)
  • Speakers: Jack Danahy, David Hoelzer

Traditional machine learning models in endpoint security experience decreased efficacy over time as a result of 'decreased coverage of new attacks, increased false positive rates and rising management overhead.

This webinar will demystify the actual science of machine learning, and explore the next evolution in endpoint security machine learning. Responsive machine learning continuously ingests new samples of malicious and beneficial software and continually trains, tests, and distributes models that provide consistently strong and accurate endpoint protection. 'Join this webinar to learn:

  • An overview of traditional machine learning methods and models
  • Challenges of traditional machine learning, including decreased efficacy over time
  • Introduction to Responsive Machine Learning
  • Best practices for endpoint protection