Friday, March 06, 2026
Arkose Labs, a global leader in proactive fraud prevention, has introduced a new version of Arkose Device ID, an advanced device intelligence solution integrated into the recently launched Arkose Titan™ platform. The update adds AI-powered similarity analysis to traditional exact-match identification methods, enabling businesses to recognize the same device even when its digital fingerprint changes.
As online fraud tactics become increasingly sophisticated, cybercriminals often manipulate device attributes to bypass detection systems. Traditional identification technologies typically struggle in these situations because even small changes—such as browser updates or modified settings—can cause a device to appear as completely new. Arkose Labs aims to address this challenge by providing persistent device recognition, ensuring organizations can accurately identify devices despite evolving digital fingerprints.
With this new capability, Arkose Device ID allows enterprises to track devices more reliably across sessions and interactions. Instead of relying solely on static identifiers, the solution uses AI-driven similarity analysis to recognize behavioral and structural patterns associated with devices. Consequently, organizations can maintain consistent visibility into user activity while minimizing the risk of fraud.
“When it comes to preventing online fraud, understanding the history of a device and its behavior are the keys to stopping fraudsters before they gain access to accounts. Transaction patterns alone are not enough,” said Shimon Modi, senior vice president of product at Arkose Labs. “When combined with the other intelligence capabilities of the Arkose Titan platform, it helps companies prevent costly threats including SMS toll fraud and payment fraud that can quickly rack up hundreds of thousands or even millions in charges.”
The updated Arkose Device ID solution is already being used by several global companies across industries such as artificial intelligence, fintech, gaming, and streaming services. Early deployments indicate significant financial benefits, with some organizations expecting to save millions of dollars annually by preventing fraudulent account creation attempts.
In one example, fraud operations attempted to bypass detection systems by routing traffic through local internet service providers and mobile carriers to mimic legitimate regional users. At the same time, attackers rotated through VPNs and proxy networks to disguise their activity. However, Arkose Device ID successfully identified the devices despite these evasive tactics.
Unlike traditional deterministic device identification systems, which often fail when device attributes change, Arkose’s approach offers both persistence and accuracy. Enterprises receive unique identifiers for all incoming devices, enabling them to monitor user behavior from the very first interaction. This capability allows organizations to detect suspicious patterns, track devices associated with banned accounts, and identify large-scale device farms used in coordinated fraud attacks.
Furthermore, the solution delivers measurable benefits across fraud prevention operations. Companies can reduce losses caused by identity fragmentation attacks, lower false positive rates that affect legitimate users, and decrease operational costs by replacing multiple fragmented security tools with a unified solution.
Arkose Device ID also addresses several key challenges commonly associated with device identification technologies. These include collision, where different devices appear identical; division, where a single device generates multiple IDs; and persistence, where systems fail to recognize legitimate devices after minor changes.
By integrating device intelligence into the broader Arkose Titan platform, enterprises gain access to a comprehensive fraud defense framework. The platform also includes solutions such as Arkose Bot Manager, Arkose Email Intelligence, Arkose Scraping Protection, and Arkose Edge. Together, these tools help protect organizations from both human-driven and AI-powered cyber threats, including bot attacks, phishing attempts, API abuse, and large-scale scraping operations.
Ultimately, the enhanced Arkose Device ID capability strengthens the Titan platform’s ability to deliver unified, real-time fraud protection while eliminating the performance delays associated with multiple disconnected security systems.
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