Egress Intelligent DLP

Egress Intelligent DLP is an adaptive, machine-learning-driven outbound email data loss prevention solution engineered to prevent human-activated data breaches, misdirected emails, and accidental data leaks across corporate email communications. By analyzing user behavior, recipient relationships, and attachment contents at the moment of sending, it stops data leakage before messages leave the organization.

The solution operates as a lightweight add-in within Microsoft Outlook and webmail clients, running contextual risk models in real time as emails are drafted. Key technical capabilities include automated detection of misdirected recipients (catching autocomplete errors like sending confidential legal files to the wrong client), sensitive data attachment inspection (scanning for PII, financial spreadsheets, and confidential documents), contextual warning prompts that prompt users to confirm risky recipients, and automated message encryption. By adapting to individual communication patterns, it eliminates alert fatigue.

Law firms, financial institutions, and healthcare providers deploy Egress Intelligent DLP to prevent costly regulatory reporting and maintain client confidentiality. It integrates seamlessly with Microsoft 365, Exchange, and enterprise directory services. Common operational use cases include stopping accidental email sends to unintended external recipients with similar names, prompting employees to encrypt attachments containing patient records, preventing unauthorized mass emailing of sensitive customer lists, and maintaining auditable proof of outbound data protection compliance.