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.
thanks you RSS link