ShieldLabs vs. Centinel

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.

Centinel acts as a robust defense mechanism for websites and applications, serving as a platform that protects against both bot and AI crawler threats by validating legitimate search engines and AI crawlers while spotting scrapers and automated traffic that imitate real users. It employs a thorough assessment of incoming requests, taking into account multiple elements such as browser settings, connection attributes, and session information, allowing it to effectively distinguish between authentic crawlers, simple scripts, browser automation tools, spoofed browsers, and commercial scraping APIs rather than depending solely on one indicator. Organizations can establish customized access protocols that determine if certain traffic should be allowed, challenged, or completely blocked based on the extensive data Centinel collects. This system integrates smoothly with existing setups, utilizing a CDN, reverse proxy, or application that consults Centinel to evaluate each request prior to serving the web page or API response. Importantly, Centinel is designed to work with platforms like Cloudflare, CloudFront, Akamai, Fastly, and similar edge services, enabling teams to bolster their security without needing to change their technological infrastructure drastically. Furthermore, this flexibility allows organizations to preserve their operational effectiveness while simultaneously protecting themselves from unwanted automated activities, ensuring a balanced approach to security and performance.