ShieldLabs vs. IPQS Device Fingerprinting

ShieldLabs excels in identifying and preventing fraudulent activities while simultaneously assessing traffic quality through advanced scoring techniques. The company effectively addresses challenges like multi-accounting, account sharing, account takeovers, fake registrations, and advertising fraud. Utilizing a single JavaScript snippet, ShieldLabs captures over 100 unique signals from devices and networks with every visit, enabling thorough cross-verification that uncovers complex masking strategies and achieves an impressive detection accuracy of up to 99%. It can effortlessly recognize returning users, even when they have cleared their cookies, used incognito modes, or connected via different IP addresses, while also tracking linked users across various accounts and devices. Instead of merely applying a binary flag, the system categorizes a range of elements such as VPNs, proxies, Tor, Apple Private Relay, datacenter IPs, anti-detect browsers, browser automation tools, bots, and AI agents as distinct signals. Each visitor, user, device, and IP is assigned a unique risk score, with established patterns addressing prevalent fraud scenarios like multi-accounting, account sharing, account takeovers, and impossible travel incidents, and traffic quality is assessed based on its origin, channel, and campaign. Setting up this solution is a quick process, taking only five minutes and including client and server SDKs, public APIs, and signed webhooks, which makes it an appealing choice for businesses eager to bolster their security quickly. Consequently, organizations can effectively establish strong defenses against fraud while ensuring a smooth and uninterrupted user experience for their customers. Additionally, this comprehensive approach allows businesses to adapt and respond to emerging threats in real time, further enhancing their protective measures.

Leverage over 25 unique data metrics to gain in-depth insights into device fingerprinting that evaluates both risks and device traits. The device fingerprinting solution offered by IPQS serves as a remarkable fraud detection tool, adept at identifying even the most cunning fraudsters, malicious actors, and cybercriminals. By examining more than 300 data points—including operating systems, screen resolutions, and installed fonts—it successfully reveals counterfeit devices, location spoofing, and dubious behavior linked to a user’s online presence. This innovative technology is capable of recognizing bots, automated actions, device impersonation, and other signs that may indicate fraudulent motives. You can opt for JavaScript device fingerprinting for web environments or utilize our SDKs tailored for mobile applications across both iOS and Android platforms. With its powerful risk assessment features, IPQS effectively identifies fraudulent accounts, chargeback attempts, credential stuffing incidents, and automated activities that suggest misuse. Moreover, the Device Fingerprinting solution from IPQS is proficient in uncovering advanced fraud strategies, including those involving cutting-edge emulator software, thereby providing a holistic defense against emerging threats. This state-of-the-art detection system not only bolsters security measures but also plays a pivotal role in helping businesses preserve trust among their genuine users, ensuring a safer digital ecosystem. Overall, the comprehensive analysis delivered by this technology enables organizations to stay one step ahead of potential fraud.