Executive Summary: As phishing campaigns increasingly incorporate AI and machine learning, traditional zero-trust architectures alone are insufficient to defend against adaptive, intelligence-driven attacks. This article explores how AI-powered detection systems must extend beyond perimeter security to provide real-time behavioral analysis, predictive threat modeling, and automated response capabilities that complement rather than replace zero-trust frameworks.
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