What is anomaly detection in outbound traffic?

Outbound anomaly detection monitors email leaving your organization for unusual patterns. It catches: compromised accounts sending spam, data exfiltration attempts, and policy violations. Internal threats often manifest through outbound traffic.

Detected anomalies: high volume from single users, sensitive data in attachments, sends to unusual external addresses, and patterns inconsistent with user roles. Machine learning helps identify subtle anomalies.

Implementation: DLP (Data Loss Prevention) tools monitor outbound content, email security gateways analyze outbound traffic, and SIEM correlation identifies suspicious patterns across users.