Resources

Guide

Machine Learning Models in Cloud Email Protection

Traditional email security products struggle to detect email impersonation threats such as Business Email Compromise (BEC) and spear phishing campaigns. These threats consistently bypass defenses that rely on signatures and policies like Secure Email Gateways and native-cloud email filters. This guide breaks down how Fortra uses advanced data science, including machine learning models, to find and mitigate attacks that slip past traditional email defenses.
Video

Informatica Gains Visibility into Threats by Using Fortra

Listen to Bill Burns, Chief Trust Officer and VP of Business Transformation for Informatica, speak about his experience working with Fortra's Agari. Transcript I'm Bill Burns, Chief Trust Officer and VP of Business Transformation for Informatica. I've been working with Fortra's Agari for about six years at previous companies, introducing them to solve specific problems and I'm bringing Fortra's...
Case Study

Los Angeles-Based Large Credit Union Eradicates Phishing Attacks

Executive Summary Los Angeles Federal Credit Union (LAFCU) was in the crosshairs of email scammers. Its brand was constantly being spoofed, putting its members at risk of being defrauded. The CTO prioritized email security as part of his broader risk management strategy, and selected Agari as his partner. That was more than a decade ago. Today, domain spoofing is at near-zero. "Our initial goal...