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

Vendor:: Sentinel Labs, Inc.
Posted:: Feb 8, 2021
Published:: Jul 24, 2017
Format:: PDF
Type:: eGuide

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