BioCatch, a U.S.-based firm focusing on behavioural intelligence for fraud prevention, has introduced DeviceIQ. This product aims to assist financial institutions in evaluating the authenticity of devices used for digital banking by leveraging device identification and intelligence.

Traditional methods of identifying devices often fall short due to modern techniques such as device emulation, spoofing, cloaked browsers, jailbroken devices, and data wiping. These tactics enable fraudsters to reuse physical devices repeatedly without detection. Moreover, agentic browsers and AI-driven tools further complicate matters by decoupling user actions from the typical device signals used by banks.

Core features and network insights

DeviceIQ maintains a consistent identity for devices across web and mobile platforms, recognizing genuine upgrades and app reinstalls without necessitating redundant validation. Pre-authentication assessments can identify jailbroken devices, missing sensors, or unauthorized code that seeks to intercept or alter banking activities, allowing institutions to block or alert on compromised devices before login attempts.

The solution also benefits from insights gathered across BioCatch’s extensive network, offering context about whether a device has previously engaged in mule activity, scams, or account takeover incidents at other financial institutions. This goes beyond conventional lists of blocked devices to facilitate cross-institutional fraud prevention. DeviceIQ can be integrated with BioCatch Connect through a single SDK, combining behavioural, device, transactional, and application intelligence into one cohesive platform.

In an initial trial at a major U.S. financial institution, DeviceIQ identified almost 60% of genuine device upgrades within its first two weeks, ensuring smooth transitions between devices. Devices deemed high risk by DeviceIQ were nearly 13 times more likely to have bypassed the institution’s previous safeguards compared to those assessed as low risk.

Additionally, DeviceIQai distinguishes human-led sessions from hybrid human-agent interactions and genuine agentic AI sessions, while also detecting potential deepfake attempts involving virtual cameras or pre-recorded authentication media.

Ayelet Eliezer, the Chief Product Officer at BioCatch, highlighted that fragmentation among various device and risk tools increases costs and diminishes effectiveness. DeviceIQ streamlines this process by enabling banks to assess all relevant risk signals in one place, thereby stopping fraud more effectively and preparing for an AI-driven threat landscape.