What we've been building: AI detection, new Smart Signals, and more

Automated traffic is increasingly dominated by AI agents performing various tasks, necessitating enhanced fraud detection capabilities to differentiate between legitimate activities and threats. Recent updates include AI Agent Detection and AI Assistant Detection, which identify AI-driven browser sessions and verify requests from AI assistants like ChatGPT and Claude, respectively. New Smart Signals, such as Rare Device Detection and iOS Simulator Detection, provide more precise risk assessments by identifying unusual device configurations and non-genuine devices. Additionally, the Suspect Score feature now offers AI-driven recommendations based on user-labeled fraud data, while the Fingerprint MCP Server allows for quick querying of device intelligence data to streamline fraud analysis and prevention. Developers can integrate AI coding environments to expedite the development of fraud-prevention features, with support available for demonstrations and early access.

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