*Source: Abnormal customer data for typical 10,000 employee enterprise
AES uses behavioral AI but still requires policy refinement to adjust detection parameters and minimize false positives.
Security teams must manually review and validate alerts, investigate false positives, and pull malicious emails from inboxes.
Analysts must manually assess user-reported emails and apply remediation actions like updating blocklists.
AES analyzes 250+ data points per email but may require admins to supplement detection with additional threat intelligence sources.





As a 2024 Gartner®️ Magic Quadrant™️ Leader, Abnormal outperforms the competition with its API architecture and behavioral AI capabilities. Abnormal delivers superior threat detection, simplifies remediation, reduces costs, and` eliminates the need for legacy tools—offering a truly modern email security solution. Discover why Gartner recognized Abnormal as a Leader and why organizations are choosing ICES over SEGS.

As a 2024 Gartner® Magic Quadrant™️ Leader, Abnormal outperforms the competition with its API architecture and behavioral AI capabilities. Abnormal delivers superior threat detection, simplifies remediation, reduces costs, and` eliminates the need for legacy tools—offering a truly modern email security solution. Discover why Gartner recognized Abnormal as a Leader and why organizations are choosing ICES over SEGS.


have migrated from SEGs to Microsoft + Abnormal in the last twelve months.
on average for enterprise customers to migrate.
mailboxes migrated in two days for a F50 retailer.