Modern SASE solutions face critical limitations in detecting AI-driven threats that operate beyond traditional packet inspection methods. As attackers leverage machine learning and behavioral anomalies, conventional security architectures struggle to identify sophisticated attacks that don't rely on detectable network signatures. Organizations must evolve their security strategies to incorporate AI-powered threat detection and behavioral analytics alongside traditional packet analysis.

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