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AI-powered phishing has shifted decisively from mass, pattern-based campaigns to highly personalized one-to-one attacks, undermining the signature-matching and volume-anomaly controls that most enterprise email security stacks depend on. Large language models now enable threat actors to craft contextually accurate, grammatically correct lures tailored to individual targets, at scale, eroding both technical filters and user awareness training built around older phishing archetypes. This shift signals a structural change in the email threat landscape: volume and pattern are no longer reliable threat indicators, and organizations that have not redesigned their detection and training models around behavioral and contextual signals face materially elevated risk.

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Tech Jacks Solutions