Overview

To combat all types of phishing attacks, the Agari Identity Graph, at the core of Agari’s email security solution, utilizes advanced real-time machine learning techniques to model known people, relationships, and predictable human behavior. The Agari Identity graph develops individual, organizational and class-based behavioral models that allow it to uniquely determine the trustworthiness of legitimate emails. By modeling good behavior, rather than trying to detect the bad, Agari Identity Graph can detect both known and unknown security threats, thereby reducing risk and the likelihood that an email-based attack will be successful.

To support this modeling, Agari leverages the elasticity enabled by its cloud native architecture to drive over 300 million model updates daily, allowing the system to maintain a real-time understanding of email behavioral patterns. It is further supported by a variety of email telemetry sources, including insights from over 2 trillion emails annually, that incorporate local context for a specific company.
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This allows Agari’s solution to ensure that the good emails get delivered to an inbox while bad emails are never delivered.

Agari is the only pure-play email security firm that provides both inbound and outbound email security for enterprises. Agari provides enterprises with a multi-layered defense strategy, including bespoke threat intelligence so that customers can understand their specific threat landscape to define and refine their broader risk management strategies.

Agari’s competitors rely on identifying known “bad” content that is becoming less effective every day as criminals are constantly changing their tactics to bypass their legacy products. These legacy products will not detect the social-engineered techniques employed by scammers today, leaving their customer’s employees, business partners, and customers at risk of phishing attacks.