Advanced Device Intelligence, Proactive Fraud Prevention
Safeguard your business with GeeTest Device Fingerprinting by identifying unique devices, detecting anomalous behaviors in real time. Distinguish genuine users from fraudsters with precision, enabling smarter, faster, and more secure decisions.
Fingerprinting is a technique that identifies and tracks devices by collecting various unique attributes to create a distinctive “fingerprint,” unlike traditional methods that rely solely on cookies or IP addresses. Learn More
Trusted by leading enterprises worldwide
Key features of GeeTest Device Fingerprinting
More Accuracy
Achieve the highest 99.5%+ accuracy and ensure consistent device fingerprints across apps, even after reinstalling.
Deeper Insights
Identify common attack strategies through daily traffic analysis and visualize risks with a relation map.
Broader Coverage
Analyze traffic with 40 risk labels from both behavior and device perspectives to uncover attack patterns.
Enhanced Privacy
Reduce reliance on private data like IMEI/IDFA, generating unique device IDs through GeeTest privacy-focused algorithm.
Precise Real-Time Traffic Insights
Detect Anomalous Behavior, Safeguard Authentic Traffic
- Distinguish genuine interactions from anomalies on desktop and mobile using Triple-Dimensional Review Technology: historical, attribution, and risk.
- Achieve unparalleled accuracy with a <0.0001% chance of generating identical fingerprints for different devices while minimizing privacy data collection.
- Ensure consistent fingerprints across multiple apps on the same device, even after app reinstallation, by leveraging system and app data collection.
Comprehensive Risk Graphs
Identify Active Threats, Expose Hidden Risks
- Pinpoint potential threats by analyzing up to 40 risk labels across device and behavior perspectives, identifying and flagging suspicious requests.
- Visualize risk data effortlessly with a device relationship graph powered by GCN technology, reducing operational costs.
- Detect duplicate or linked accounts with precision, mapping traffic requests to devices and accounts for accurate analysis and deduplication.
Adapt to your business across industries and scenarios
Device fingerprinting identifies and tracks devices, distinguishing users and fraudsters. It’s applied in marketing, fraud prevention, and operations to protect assets, reduce costs, and improve user experience.
Marketing
Identify and track devices for secure authentication, effective fraud prevention, precise ad targeting, and comprehensive data-driven analysis.
Finance
Enhance security against fraud and identity theft by identifying and verifying customer devices for safer online transactions.
E-commerce
Recognize customer devices to enable precise marketing, personalized recommendations, fraud prevention, and account security.
Gaming
Detect player devices to prevent cheating and malicious behavior, ensuring a secure gaming environment with personalized content