Affle secures US patent for advanced ad fraud detection technology

Affle announced on September 12, 2025, that it has been granted a new patent in the US, titled "Method and System for Hardware and Software Based User Identification for Advertisement Fraud Detection." This patent enhances the company's conversion-driven CPCU model and fortifies its AI-powered consumer platform stack. The technology combines hardware and software data to differentiate genuine human actions from bot-initiated or manipulated activity, moving beyond conventional software-only identifiers.

This innovative system uses multi-layered data from various hardware touchpoints such as device sensors, biometrics, and connectivity signals to build unique device/user behavioral profiles. It calculates probabilistic scores by correlating data with baselines, cross-device mapping, and digital fingerprinting. The real-time design integrates supervised and unsupervised machine learning, adapting to evolving fraud patterns, and also analyzes data from third-party connected devices (IoT, wearables, connected TVs) to strengthen cross-device fraud detection.

The new patent marks Affle's 16th granted patent, expanding its IP portfolio to 36 unique patent applications filed to date. The company emphasizes its commitment to building secure, transparent, and high-impact advertising technologies that ensure trusted outcomes for advertisers globally. The inventors listed for this patent include Anuj Khanna Sohum, Charles Yong, and Anurag Singh.