This white paper explores the mechanics and dangers of Advanced Persistent Threats (APTs), which often begin as small, undetected infections that gradually spread across systems. These threats can remain hidden for months before launching coordinated, large-scale attacks. The paper explains why traditional detection methods fail—primarily because they rely on identifying previously known malware. With the rise of generative AI, attackers can now create entirely new malware variants that bypass these systems with ease. The paper emphasizes the need for detection strategies that do not depend on prior identification, enabling organizations to identify threats early and prevent catastrophic, system-wide attacks.

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