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.
Datasheet

Fortra's Customer Phishing Protection Bundle Datasheet

Prevent, Detect & Disrupt Phishing with an Integrated Solution from Agari & PhishLabs Threat actors impersonate legitimate brands to steal account holder credentials, leading to increased fraud and loss of customer trust. As phishing continues to rise, many organizations find themselves in need of more proactive protection that can deliver the email authentication, threat intelligence, and...
Datasheet

Agari Automation and Hosting Features

The Email Authentication Challenge Email is the #1 way attackers target an organization’s customers and email ecosystem. DMARC authentication, specifically with an enforcement policy of Reject, is the single most effective way to close this vulnerability inherent to email. While the premise of authentication is straightforward, organizations can encounter roadblocks and challenges along the way to...
Datasheet

Post-Enforcement Advantages of Agari DMARC Protection

AT A GLANCE After reaching a DMARC enforcement policy, Agari DMARC Protection continues to provide immense value to customers. BENEFITS Improves customer trust by protecting your brand from being used in phishing attacks. Decreases time to reject by automating implementation. Maximizes marketing efficacy and improves email engagement with trusted communications. Reduces operational costs...