Bolster signature-based malware detection with machine learning

While signature-based detection is a tried-and-true method for identifying malicious code, it simply can’t keep up with the advanced, metamorphic malware that’s constantly evolving to sneak past defensive measures.

This expert e-guide explores how to improve advanced malware threat detection as well as network and endpoint security. Hear from security experts Michael Cobb and Karen Scarfone about:

• How machine learning improves signature-based detection
• Combining signature-based and anomaly-based behavior detection
• 10 questions to ask endpoint security vendors
• And more