Ad Fraud Solutions
Stop Bots with IAS, Reach More People
Rule-Based Detection
Deterministic, rules-based detection uses automated rule checks to identify 1 any anomalous behavior patterns
AI & Machine Learning
Probabilistic, AI/Machine Learning goes a step further using big data to 2 detect any hidden, uncommon patterns
IAS Threat Lab
IAS Threat Lab employs malware
analysis & reverse engineering 3 to uncover any emerging threats
IAS processes and analyzes trillions of data points every month to identify anomalies indicative of fraud across all channels and platforms. The data collected is used to build scalable detection models that distinguish real human behavior from bots, even in areas that have not been previously discovered. IAS also examines signals sent during a specific browser session or from a specific device. Bots have a set of signature characteristics that can be identified by extensively mapping the browser environment and device attributes.
