Abnormal Security

Abnormal features advanced Inbound email security that uses behavioral AI to detect and block phishing, business email compromise, and malware attacks. It continuously analyzes message patterns, sender behavior, and contextual signals to stop suspicious emails before they reach user inboxes, strengthening enterprise-wide protection.

The software delivers real-time phishing awareness training directly within users’ inboxes. When a potential phishing attempt is detected, employees receive context-based guidance on identifying and reporting it. This approach transforms every email incident into a learning opportunity, improving user judgment, and reducing future attack success rates.

This feature provides continuous visibility into an organization’s security health. It identifies configuration gaps, monitors user privileges, and flags integration vulnerabilities across connected apps. By offering proactive insights and recommendations, it helps security teams maintain compliance and minimize overall risk exposure.

Abnormal’s AI data analyst automates threat investigation and reporting by analyzing incidents across email and collaboration tools. It summarizes attack trends, correlates data points, and provides actionable insights. This feature reduces manual workload for security analysts while enabling faster and more informed decision-making across the organization.

Powered by machine learning, the Behavioral AI Engine model's normal communication behavior to identify anomalies in sender identity, message tone, and interaction frequency. It continuously adapts to evolving threats, ensuring the platform remains effective against emerging attack methods while maintaining accuracy and minimizing false positives.