This system analyzes email content and attachments in real-time, dynamically applying data loss prevention (DLP) policies. It learns from past incidents and user behavior to identify and prevent sensitive information from leaving the organization through email. For instance, if an employee attempts to send a document containing confidential financial data to an unauthorized external recipient, the system can automatically block the email or redact the sensitive information.
Deploying such a sophisticated system is crucial for organizations seeking to mitigate the risk of data breaches, maintain regulatory compliance, and protect their intellectual property. Historically, static DLP solutions have struggled to keep pace with evolving threats and often generated a high number of false positives. This technology offers a more flexible and accurate approach to data protection by adapting to changing conditions and learning from experience.
