How does CrowdStrike differentiate between various types of malware?

CrowdStrike differentiates between various types of malware primarily by analyzing behavior, characteristics, and propagation methods. This behavior-based approach enables the detection of new, unknown, or polymorphic malware strains that may not be identified through traditional signature-based detection methods. By examining how a piece of malware operates, its user actions, communication patterns, and the techniques it employs to spread or maintain persistence on a system, CrowdStrike can effectively categorize and respond to different threats in real time.

This analysis allows for a more dynamic understanding of malware, as malicious actors regularly modify their tactics. Behavioral analysis provides a robust defense by focusing on the actions of the software rather than relying on pre-established signatures, which may quickly become outdated. This adaptability is crucial in the fast-evolving landscape of cybersecurity threats, allowing organizations to remain protected against both known and unknown malware.