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The use of Machine Learning and Deep Learning models in Cisco Secure Email Threat Defense allows for the identification of malicious intent in incoming emails while still allowing legitimate messages to go through. By generating signals based on data-driven detections, the system can determine the intent of the message and identify new senders or impersonation attempts. This helps to create a more targeted and effective defense against modern cyber attacks.