Arkose Labs Deploys AI to Combat AI-Driven Fraud with New Device ID

SAN MATEO, CA – March 03, 2026 – As cybercriminals increasingly weaponize artificial intelligence, fraud prevention firm Arkose Labs has launched a new countermeasure, deploying its own advanced AI to unmask attackers. The company today announced Arkose Device ID, a sophisticated identification solution designed to persistently recognize a user's device, even as fraudsters attempt to cloak their digital footprints.

The new solution is a core component of the recently unveiled Arkose Titan™ platform, an integrated suite of tools aimed at providing comprehensive protection against modern online threats. By layering AI-driven similarity analysis over traditional identification methods, Arkose Device ID promises to solve critical challenges that have long plagued fraud detection systems, offering a more durable and accurate way to distinguish legitimate users from malicious actors.

“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. Modi emphasized that when combined with the other intelligence capabilities of the Arkose Titan platform, the technology helps companies thwart costly attacks like SMS toll fraud and payment fraud, which can rapidly accumulate millions in losses.

The New Front Line in an AI Arms Race

The launch arrives at a critical juncture in cybersecurity. The threat landscape has evolved into an industrialized, highly profitable enterprise where "crime-as-a-service" models make sophisticated tools accessible to a wider range of attackers. Recent industry data shows a dramatic surge in malicious traffic, with cybercriminals aggressively adopting AI and automation. The use of attack automation services has climbed significantly, and the average attack size has grown by over 12% in a single quarter.

Fraudsters are now leveraging Generative AI (GenAI) to create flawless phishing emails, script convincing romance scams, and scrape vast amounts of data to train their own malicious models. This rise of "Agentic AI"—autonomous systems capable of executing complex attacks—has created a dangerous gap between enterprises' confidence in their defenses and their actual preparedness. Most organizations lack the tools to reliably distinguish between malicious and legitimate AI agents, leaving them vulnerable. It is this escalating AI arms race that Arkose Device ID is built to address.

Beyond the Digital Fingerprint

Traditional device identification techniques have struggled to keep pace with these evolving threats. Deterministic, "exact-match" solutions that rely on a static device fingerprint are precise but brittle; they fail the moment a browser is updated, a cookie is cleared, or an attacker manipulates a single attribute. Conversely, standard machine learning approaches can maintain broader coverage but often introduce an unacceptably high rate of false positives, frustrating legitimate customers and creating friction.

Arkose Device ID introduces a new paradigm by tackling three fundamental challenges head-on:

• Collision: Where multiple, distinct devices appear identical to a system, causing false attributions that can block legitimate users or misidentify threats.
• Division: When a single device fragments into multiple digital identities over time, breaking the chain of tracking and allowing attackers to evade detection across sessions.
• Persistence: The difficulty in maintaining consistent recognition of a device after legitimate changes, such as software updates, which increases false positives and allows threats to hide.

The solution's novel approach combines stateless identification, which uses real-time telemetry, with stateful identification, which stores an identifier on the user's device. Layered on top is the AI-driven similarity analysis, which moves beyond simple attribute matching. It analyzes underlying patterns and relationships to recognize a device's core identity, providing a persistent and durable identifier that endures even as superficial characteristics change. This allows organizations to correlate devices attempting to access multiple accounts, identify previously banned devices, and track emerging device farms with unprecedented accuracy.

Delivering Measurable Business Impact

The impact of this technology extends beyond the technical realm, translating into significant financial and operational benefits. Arkose Labs reports that the solution is already being used by leading companies in fintech, gaming, and streaming, including a developer-friendly cloud platform that is on track to save millions of dollars annually in fraudulent account creation charges. In that case, the solution successfully defeated a sophisticated fraud operation that used local ISPs and rotated through VPNs to mimic legitimate regional traffic.

This focus on delivering a clear return on investment is central to the company's strategy. By reducing fraud losses from identity fragmentation attacks and lowering false positive rates, businesses can protect their revenue while improving the customer experience. Furthermore, by integrating multiple defense capabilities into a single platform, Arkose Titan helps reduce the operational costs and complexity associated with managing a fragmented collection of point tools from different vendors.

The company's confidence in its proactive deterrence model is underscored by its $1 million warranty for credential stuffing, SMS toll fraud, and card testing, a bold guarantee in the fraud prevention market. This market position is further validated by consistent recognition from industry analysts at Gartner and Forrester, as well as top rankings in G2's user satisfaction reports for bot detection and mitigation.

A Unified Defense Against Evolving Threats

Arkose Device ID does not operate in a vacuum. It is a critical piece of the broader Arkose Titan platform, which is designed to provide a holistic, multi-layered defense through a single API call. This eliminates the latency and security gaps that can arise from chaining multiple, disparate services together.

The unified platform integrates a suite of specialized modules, including:
* Arkose Bot Manager: To detect and neutralize sophisticated bots, including those using generative AI to bypass traditional defenses.
* Arkose Email Intelligence: To analyze hidden risk signals in email addresses and stop the use of fake or high-risk accounts.
* Arkose Scraping Protection: To prevent the automated harvesting of valuable data and intellectual property.
* Phishing Protection: To shut down phishing and man-in-the-middle attacks before they can compromise user accounts.

By combining device intelligence with behavioral analysis, email risk assessment, and advanced bot detection, the platform provides real-time visibility and enables informed risk-scoring across every digital touchpoint. This integrated approach allows businesses to not only block attacks but also to undermine the economic incentives of fraudsters by introducing dynamic friction, making attacks too costly and time-consuming to be profitable. This strategy has attracted a roster of major global brands, including Microsoft, Meta, Roblox, and Snap, and has helped Arkose Labs secure a spot on the Deloitte Technology Fast 500 list for five consecutive years, a testament to its sustained growth and relevance in the fight against digital fraud.