Traditional email DLP often relies on static rules and pattern matching, creating false positives because it cannot distinguish normal business communication from genuine data exposure. Abnormal Email DLP Rules adds behavioral and contextual analysis to outbound email enforcement. Teams can build policies using regex, phrase matching, metadata conditions, Boolean logic, and editable exclusions. The AI Triage Agent reviews flagged messages against policy intent, sender-recipient relationships, and message content, automatically releasing benign matches while quarantining likely violations. Plain-language exclusions simplify policy maintenance, while the Outbound Log records matches, verdicts, and reasoning. The approach reduces analyst workload, supports controlled rule deployment, and prov

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