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.
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...
Product Video

Watch a Short Demo of Agari Phishing Response

Agari Phishing Response prioritizes reported incidents, automating investigative analysis and triage, to elevate the most suspicious to the top of the list. Then, it reduces manual efforts with remediation workflows to accelerate time-to-containment.
Product Video

Watch a Short Demo of Agari Phishing Defense

Agari Phishing Defense uses predictive, artificial intelligence and real-time insights from trillions of emails each year, and we stop 99.987% of the attacks that secure email gateways missed. How? Let's take a look.