Machine learning in security: Seeing the Nth dimension in signatures

Sorry, this post has not been published yet, check again later!

March 31, 2016
Published by:

InformationWeek DarkReading

Signature-based threat detection systems have been evolving for more than two decades, and the application of supervised machine learning to the development of n-dimensional signature engines over the last couple of years is already moving the detection odds back to the defender, Vectra CSO Günter Ollmann writes.

Read publication

Most recent media coverage

Cyber Conflict Overshadowed a Major Government Ransomware Alert

April 26, 2022

Dark Reading

Read more

Latest T-Mobile Data Breach Has Some Wondering ‘How Lapsus$ Got Access in the First Place’

April 22, 2022

Channel Futures

Read more

Vectra Research Exposes Cybersecurity Health Crisis

April 7, 2022

Intelligent CISO

Read more