Case Study: Rate (leading mortgage originator) cuts phishing 98% and saves $200K annually with Abnormal AI

Rate Enhances Security and Scalability with Human Behavior AI from Abnormal

Rate, a major U.S. mortgage originator and fintech firm, needed to better protect sensitive customer data and reduce rising credential phishing and extortion attacks reaching its Microsoft 365 inboxes while avoiding redundant secure email gateway (SEG) costs. To solve this, Rate evaluated and adopted Abnormal AI’s human behavior AI–driven email security (Inbound Email Security, AI Security Mailbox, Email Productivity, and Account Takeover Protection).

Abnormal AI replaced Rate’s SEG and implemented behavior‑based detection, auto‑remediation and graymail filtering, delivering fast time‑to‑value and operational relief: about 98% fewer phishing attacks reaching inboxes, $200K in annual licensing savings, 240+ security team hours saved per month, $21K saved from one detected invoice‑fraud attack, and 8,047 employee hours reclaimed in the first month—while SOC email incident time fell from half a day to a couple of hours per month.

Rate

Jason Thorn

Director of Security Operations and Incident Response