Modern malware has evolved beyond traditional detection methods, leveraging polymorphism, preemptive tactics, and AI-driven generation to evade conventional defenses. This white paper explains how attackers intentionally design malware that avoids signature-based and pattern-recognition systems by constantly changing its characteristics or disabling defenses before detection occurs. With AI accelerating the creation of entirely new malware variants, detection delays—often measured in months—leave systems exposed to prolonged damage. The paper highlights the urgent need for a new detection paradigm that identifies malware at the moment of infection rather than relying on historical patterns. By focusing on the underlying “essence” of malicious behavior rather than known signatures, organiza

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