IPQS Device Fingerprinting
Access over 25 data points for device fingerprinting details to analyze risk and device info. Device Fingerprinting by IPQS offers an unparalleled fraud detection solution capable of detecting even the most advanced fraudsters, bad actors, and cyber criminals. Scan over 300 data points (like operating system, screen resolution, fonts) to accurately identify fake devices, location spoofing, and high-risk behavior in a user's online fingerprint. Identify bots, automated behavior, device spoofing, & other high-confidence signals that the user is likely to engage in fraudulent behavior. Deploy JavaScript device fingerprinting for web devices or use our SDKs for mobile devices on iOS or Android. Robust risk scoring will accurately identify fake accounts, chargebacks, credential stuffing, bot behavior, and similar abuse. IPQS Device Fingerprinting can reveal advanced fraud techniques including the latest emulator software.
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Sensfrx
Sensfrx is a powerful fraud prevention platform designed to safeguard businesses from various types of fraud, including account takeovers, chargebacks, bot interference, and fake registrations. It uses advanced AI and machine learning to detect malicious activities in real time, ensuring seamless user experiences while protecting sensitive data.
By analyzing user behavior, device fingerprints, and transaction details, SensFRX detects suspicious activity early. For example, it blocks stolen credentials during login, stops fake identities at sign-up, and flags scams using real-time risk scoring. Its self-learning algorithms respond instantly to threats, reducing false alerts while stopping fraud before damage occurs.
The platform is highly customizable, allowing businesses to set their own fraud prevention rules and policies, making it adaptable to various industries, from e-commerce to banking.
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RISK IDENT
RISK IDENT is a leading software development company that offers anti-fraud solutions to companies within the e-commerce, telecommunication and financial sectors. We are experts in data analytics and machine learning. Our key products are FRIDA Fraud Manager and DEVICE IDENT Device Fingerprinting. Use cases include payment fraud, account takeovers, fraud within account and loan applications. Our intelligent software products detect online fraud through an automated evaluation and interpretation of data points. We deliver results in real time and thus enable you to stop fraudulent attacks before the damage occurs. Multiple awards, serious data security. The challenge in fraud prevention is the networking and evaluation of all relevant data points at high processing speed. That is exactly what we deliver: Identifying anomalies in real time.
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ShieldLabs
ShieldLabs is fraud detection and prevention with traffic quality scoring. It stops multi-accounting, account sharing, account takeover, fake signups and ad fraud.
A single JavaScript snippet collects more than 100 device and network signals on every visit and cross-checks them, which exposes deep masking and delivers up to 99% detection accuracy. Returning visitors are recognised across cleared cookies, incognito mode and changed IP addresses, and linked users are detected across accounts, devices and IP addresses.
VPNs, proxies, Tor, Apple Private Relay, datacenter IPs, anti-detect browsers, browser automation, bots and AI agents each come back as a named signal, not one binary flag. Every visitor, user, device and IP gets a risk score. Ready-made patterns cover multi-accounting, account sharing, account takeover and impossible travel, and traffic quality is scored by source, channel and campaign.
Five minutes to integrate. Client and server SDKs, public API, signed webhooks
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