Why Machine Learning is More Likely to Cure Cancer Than to Stop Malware - Webinar on Feb 27th 3 PM EST!

Machine Learning (ML) has become the shiny new object for security and is the foundational pillar of products such as Next-Generation Antivirus (NGAV) and User and Entity Behavior Analytics (UEBA). While most of these products have promised to be a “silver bullet” against malware, complete protection remains elusive. In fact, ML is more likely to detect and cure cancer than to stop all of today’s advanced threats for a number of reasons:

• The past doesn’t predict the future
• Nothing will keep the bad guys out
• The harder you try the more you fail
• You can’t always be connected
• It’s a black box

Join our webinar to learn more!

Fortunately, you can get more value out of your ML-based security with a complimentary OS-Centric Positive Security solution that uncovers new, never-seen-before and fileless malware threats that ML can miss.  

On Feb. 27 at 3 EST, Shahid Shah and Rene Kolga will discuss the role of machine learning and OS-Centric Positive Security in endpoint protection.  

Click here to register.