Detect Bots, Fraudulent Users & Duplicate Accounts
IPQS Device Fingerprinting tools are an unparalleled fraud detection service capable of detecting even the most advanced fraudsters and cybercriminals. Scans over 300 data points to accurately identify any irregularities in a user's online fingerprint that would indicate the user is intentionally manipulating their online signature, such as automated behavior, device spoofing, & other strong signals that the user is likely to engage in high risk behavior.
Predict User Intent & Identify Non-Human Behavior
Additionally, analyze user intent and behavior across our vast database of known patterns of fraud to identify bad actors with a high probability of engaging in malicious behavior. Track users even as they change their browser, IP address, and other identifiable settings which typically makes detecting duplicate accounts even more difficult, especially when abusive users are involved. Unlike proxy detection, this risk analysis searches deep into the user's online fingerprint, analyzing beyond their IP address and browser with machine learning and artificial intelligence.
Uncover The Most Sophisticated Fraud & Device Spoofing
Traditional methods of catching low quality users and fraudulent payments are quickly becoming outdated as fraudsters continue to improve their levels of sophistication and techniques. Fraudsters can quickly access virtual machines with legitimate IP addresses or even choose from thousands of devices with tools like Multi-Login, Linken Sphere, FraudFox, & AntiDetect. Duplicate and fake accounts can account for up to 15% of some audiences.
Researchers are now estimating that over $200 billion in credit card fraud & chargebacks and over $16 billion in online advertising fraud are predicted for 2020. These numbers are expected to rise even further in the next few years. But your company doesn't need to be another statistic. IPQS solves these challenges with device fingerprinting techniques, an easy way to easily score users, clicks, & payments without friction for legitimate users. Get it setup on your site or app in just a few minutes.
Track & score users as they move through your platform. Identify bots, spoofed devices, location spoofing, and analyze users against thousands of high risk behavior patterns.
How Do I Integrate Device Fingerprinting?
A robust API suite is available to seamlessly integrate with your site, software, or apps. IPQS support team also offers free integration assistance 7 days per week as well as example code and simple documentation.
IPQS Device Fingerprinting technology is optimized for scoring mobile or desktop devices in any country. Identify suspicious users, clicks, & transactions and abusive behavior in real-time.
Proactive Detection & Customized Scoring
Catch high risk users and suspicious transactions in real-time which can be blocked or flagged for manual review or even supplement your own real-time decision making process. IPQS Device Fingerprinting tools return a real-time fraud score indicating the likeliness of the user to engage in fraud, in addition to other data such as a super tracking ID, confidence score, location, device variables, and the connection status as a proxy, VPN, or TOR connection.
We realize every site has different requirements for fraud detection, so our tools are flexible to provide custom anti-fraud solutions for any site or app. IPQS user dashboard makes it easy to create custom rules that modify how specific tests we perform factor into the user's overall fraud score. Additionally, custom blacklists and whitelists tailor the service to fit your audience.
Track users as they move through your site, even as they change their browser, IP address, and other settings that could be used to identify them. Fraudsters routinely create duplicate accounts to engage in abusive behavior and will do everything they can to circumvent bans and suspensions on their existing accounts. IPQS anti-fraud tools makes it easy to identify these users and permanently block them.
IPQS algorithms use a mix of artificial intelligence, bot detection, & machine learning to tailor fraud detection for your audience, while also learning from your history. Using real-time scoring, fraudsters can be blocked or flagged for review - preventing chargebacks, click fraud, free trial abuse, and other abusive actions that can be time consuming to manually manage.