Abnormal Behaviour Platform

Organisations are experiencing a sharp rise in attacks that exploit human behaviour, trusted relationships and cloud identities rather than technical vulnerabilities. Targeted social engineering, account takeovers, and supplier fraud increasingly contain no malware, links, or known indicators of compromise, allowing them to bypass traditional security controls. As a result, losses from business email compromise (BEC) and identity-based fraud persist even in well-defended environments.

The Abnormal Behaviour Platform addresses this challenge through advanced behaviour analytics that model identity, communication patterns, and relationships across email and connected cloud applications. Instead of relying on static rules or known-bad indicators, Abnormal uses AI to understand what “normal” looks like for every user, vendor and workflow, then detects subtle anomalies that signal malicious intent. This approach is uniquely effective against targeted and sophisticated social engineering attacks that feature no traditional threat signatures. It means that Abnormal can identify risks that legacy tools miss, reducing successful phishing attacks by 90%, and enabling early detection of account compromise and social engineering campaigns. Customers see proven, measurable impact. A Forrester Total Economic Impact study reported a 278% return on investment over three years, driven largely by avoided BEC and account takeover losses, alongside a 95% reduction in investigation time. Organisations such as PepsiCo, Marriott, and Unilever experience sustained elimination of successful BEC incidents and significantly faster response to advanced threats. With automated remediation and continuous anomaly detection, Abnormal reduces manual effort while strengthening enterprise-wide threat detection. Protecting 3,000+ organisations globally, including 25% of the Fortune 500, Abnormal is firmly established as a leader in behaviour-based enterprise threat detection.