As spammers employ increasingly sophisticated techniques to avoid detection by the anti-spam rules and heuristics currently in widespread use, these simplistic anti-spam solutions have become less and less effective. Once again, users’ email inboxes are flooded with spam and critical emails are being inadvertently discarded or simply lost in the noise. This paper introduces Proofpoint’s MLX technology that leverages machine-learning techniques to provide a revolutionary spam detection system that analyzes millions of messages to automatically adjust its detection algorithms to identify even the newest spam attacks without manual tuning or administrator intervention.
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