AD FRAUD DETECTION METHODOLOGY

With years of experience and massive amounts of data processed monthly, Fraudlogix’s strength is in our ability to detect what’s real and what isn’t

Establishes baselines for what normal/real traffic patterns and behaviors look like. Over 40 different anomalies are then identified and assigned weights based on type and severity to identify traffic originating from bots, scripts, and hijacked devices.

Examples of Anomalies

• Inconsistent browser sessions

• Forged user agents

• Geo mismatches

• Bad device reputation

• Proxy usage

• Data Center IP usage

as seen in