Affle has been granted a new patent in the United States, enhancing its tech IP portfolio and improving the performance of its conversion-driven CPCU model. This patent strengthens Affle's AI-powered consumer platform stack.
The patent focuses on a "Method and System for Hardware and Software Based User Identification for Advertisement Fraud Detection.” It introduces a smart framework for detecting digital advertisement fraud and online commerce fraud by combining hardware and software level data to distinguish genuine human actions from bot-initiated or manipulated activity. The system analyses multi-layered data in real-time through hardware touchpoints like device sensors, biometrics, and connectivity signals, building unique device/user behavioral profiles and calculating probabilistic scores.
The real-time design employs supervised & unsupervised machine learning and intelligent algorithms to adapt to evolving fraud patterns. It also analyses data from third-party connected devices (such as IoT, smart wearables, connected TVs, etc.) which are assigned unique identities and communicate via wireless protocols. By correlating this data with sensor-based indicators such as gyroscope, accelerometer data, touch interactions and other user device signals, the system strengthens cross-device fraud detection and enables blocking of fraudulent publishers/devices in real-time. This reduces cost leakages and optimizes campaign efficiencies across connected devices.
This marks the 16th patent granted to Affle, expanding its IP portfolio, which includes 36 unique patent applications filed to date. The inventors of this patent are Anuj Khanna Sohum, Charles Yong, and Anurag Singh.
The company’s announcement reinforces its commitment to building secure, transparent, and high-impact advertising technologies that deliver trusted outcomes for advertisers globally.
The information was submitted for records to the BSE Limited and National Stock Exchange of India Ltd on September 12, 2025.
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