Header image

Best Email Security Solution - Abnormal Security

Inbound Email Security


Abnormal Security’s Inbound Email Security (IES) sets a new benchmark for email threat protection, offering AI-native defence against business email compromise (BEC), phishing, and socially engineered attacks. As cybercriminals increasingly use generative AI to craft convincing, targeted messages that evade traditional filters, Abnormal’s behavioural AI identifies even the most subtle anomalies. By analysing communication patterns, sign-in behaviours, and device activity, it builds a unique behavioural baseline for every user, enabling rapid detection and automatic remediation of sophisticated, text-based email threats often missed by legacy secure email gateways (SEGs).

Seamless API integration with Office 365 and Google Workspace allows IES to be deployed in minutes without configuration changes, offering instant, high-precision protection with minimal false positives. Comprehensive threat logs, trend analysis tools, and automated detection and response provide deep visibility and faster reaction times, helping security teams reduce time spent on manual investigations and lower overall risk.

With a flexible SaaS pricing model and rapid time-to-value, IES delivers strong ROI by reducing the cost and complexity of email security. Customers have reported significant reductions in account takeovers and have fully replaced their legacy SEGs, simplifying their security stack while enhancing protection.

Now securing a significant share of Fortune 500 companies, Abnormal Security has been recognised as a Leader in the 2024 Gartner Magic Quadrant for Email Security. Its rapid growth and innovative approach make it a compelling solution, helping enterprises stay ahead of evolving threats while reducing operational overhead.

Judges’ Comments:

“Abnormal Security delivers AI-driven threat detection with a strong behavioural analysis approach, making it effective against BEC and targeted email attacks.”



Upcoming Events

No events found.