Fraud prevention is becoming more challenging as threat actors adopt increasingly sophisticated tactics. To stay ahead, businesses need real-time, actionable device intelligence data that can be customized to meet their unique security needs. 

Fingerprint is excited to introduce the latest enhancements to our device intelligence platform, providing businesses with a new suite of features delivering unified analytics, advanced data visualization, and fully customizable threat scoring. Now you can optimize your fraud detection models and gain insights into new and returning visitors with unparalleled accuracy and flexibility.

Why device intelligence matters in fraud detection

Traditional fraud detection methods often fall short as bad actors continuously figure out new ways to bypass IP-based methods using VPNs, proxies, or device spoofing techniques. Device intelligence, however, offers a more comprehensive approach by analyzing various browser, device, and behavior signals. But simply collecting this data isn’t enough — businesses need to transform it into actionable insights that can improve their decision-making and security posture.

Device fingerprinting is at the heart of Fingerprint’s approach, enabling businesses to gather detailed, actionable insights from various data points that drive real-world security improvements. But businesses also need the ability to adapt and fine-tune their fraud detection models to address their unique risk environments. This is where Fingerprint leads the industry: By combining powerful analytics, advanced visualizations, and real-time customization capabilities with data from over 100+ signals across devices and browsers, Fingerprint enables businesses to identify all online visitors with leading accuracy so fraud teams can respond to threats in real time.

Actionable insights at a glance with a customizable dashboard

Fingerprint’s updated and redesigned Overview Page delivers a streamlined, customizable dashboard that provides users with comprehensive and real-time insights into their device intelligence data.

• Customizable metrics: Tailor the dashboard to display the metrics most relevant to you, ensuring that critical data is always front and center.
• Data visualization: Leverage new charts, timelines, and visual tools to track trends, spot anomalies, and gain deeper insights into device activity​.

The new Overview Page enables teams to make faster, better-informed decisions, reducing response time to potential threats and improving overall security outcomes.

Smart Signals Statistics: Granular insights for enhanced security

Fingerprint’s Smart Signals Statistics feature provides businesses with an account-level view of Smart Signals usage, delivering cross-platform insights that empower teams, from engineers to analysts, to monitor critical device behaviors across web, mobile, and other platforms​.

• Cross-platform insights: Understand how signals like VPN usage, browser tampering, and geolocation spoofing contribute to device fraud detection​.
• Exportable data: With PDF and CSV export options, users can easily integrate these insights into their internal reporting processes, improving collaboration and decision-making.

By offering enhanced visibility into Smart Signals, such as Bot Detection, VPN Detection, and Browser Tamper Detection, this feature allows security teams to prioritize the signals that matter most, improving fraud detection accuracy and enabling effective, data-driven decisions.

Suspect Score weights: Customization that empowers your account security

No two businesses face the same security threats. With Fingerprint’s new Suspect Score weights, businesses can customize how different signals influence their overall fraud risk assessment, giving them unprecedented control over their fraud detection models​.

• Configurable weights: Adjust the impact of individual signals like VPN usage, impossible travel, and geolocation spoofing to better align with your organization’s risk profile.
• Real-time adjustments: Apply changes instantly, ensuring your security models are always up-to-date and optimized to respond to emerging threats.

Fingerprint’s latest updates offer a powerful, integrated solution that helps businesses optimize fraud detection, streamline security operations, and make effective, data-driven decisions. With customization, advanced analytics, and real-time adjustments, Fingerprint empowers organizations to transform raw device data into actionable intelligence, improving fraud prevention and operational efficiency.

Ready to enhance your device intelligence strategy? Learn more at fingerprint.com or schedule a demo to see how Fingerprint can help you stay ahead of the curve.