ShieldLabs vs. Foil

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.

Recognize the AI agents and malicious devices that could be taking advantage of your organization, while also starting to track covert operatives who may be misusing your business assets and revealing fraudulent patterns across diverse devices, regardless of their attempts to conceal their identity. Foil serves as a sophisticated device intelligence platform that delivers accurate insights into the interactions occurring on your website or mobile app. Our cutting-edge SDKs for Web, iOS, and Android allow you to collect and analyze an extensive array of data, user behaviors, and tests from mobile devices in real-time, thereby improving your capabilities to develop more robust fraud detection metrics and measures. This extensive information plays a crucial role in reducing fraud-related risks, allowing for the detection of various threats ranging from harmful AI agents to individuals who are tampering with their devices, networks, or browsers to circumvent your security protocols. With the utilization of such intelligence, you can dramatically enhance your organization’s defenses against potential security threats, ultimately fostering a more secure operational environment.