The future of machine learning in cybersecurity: What can CISOs expect?

August saw the Defense Advanced Research Projects Agency (DARPA) host its first Cyber Grand Challenge – the first hacking competition not involving people. During this event, teams left their systems alone to single-handedly find, diagnose and fix software flaws in real time.

Elsewhere, researchers at MIT are not only developing machine learning systems that automatically mine dark web marketplaces for vulnerabilities and zero-day attacks and reports them back as well as software that automatically fixes buggy code, but also a platform that can predict 85% of cyber-attacks.

Machine learning, deep learning, and Artificial Intelligence (AI) are hot topics at the moment, and while there’s plenty of research going on, there’s also some practical applications that can be deployed right now to make life easier for cybersecurity professionals.

A glut of new start-ups, from the likes of Darktrace, Cylance, Deep Instinct, and HackerONE, plus established player such as FireEye, IBM, and Forcepoint, are all working on bringing self-learning systems into the world of security.


To continue reading...


« The CMO Files: Lidia Lüttin, Bynder


Why are organisations in APAC less secure? »
Dan Swinhoe

Dan is a journalist at CSO Online. Previously he was Senior Staff Writer at IDG Connect.

  • twt
  • twt
  • twt
  • Mail

Recommended for You

International Women's Day: We've come a long way, but there's still an awfully long way to go

Charlotte Trueman takes a diverse look at today’s tech landscape.

Trump's trade war and the FANG bubble: Good news for Latin America?

Lewis Page gets down to business across global tech

20 Red-Hot, Pre-IPO companies to watch in 2019 B2B tech - Part 1

Martin Veitch's inside track on today’s tech trends


Do you think your smartphone is making you a workaholic?