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

What is Social Engineering?

    Transcript    Social engineering is the use of idiosyncrasies of the way our brains work to trick us into doing something we would otherwise not do. Let me give you an example. Suppose that you live in an apartment complex that has a secure gate and everyone at that complex has been told, "Don't let strangers in. Don't hold the door for...
Datasheet

Fortra's Integration for Palo Alto Networks Cortex XSOAR

Why Integrated Email Threat Data Matters Email is a primary vector for attacks on your business today—and email threats are evolving faster than ever. But actionable data about email attacks is often inaccessible to time-strapped security operations and incident response teams. That disconnect leaves your business vulnerable and unable to mitigate hidden email threats. ...
Video

Agari Identity Graph

    Transcript    The Agari Identity Graph is the AI-powering Agari Suite of advanced email security solutions, protecting your inbox from costly and damaging phishing schemes, account takeovers, and business email compromise attacks. The Graph leverages machine learning and makes over 300 million model updates each day, analyzing tens of billions...