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Device Intelligence
Built for regulatory-heavy industries, our solution collects no PII, is fully GDPR/CCPA-compliant, and leverages WebAssembly to protect client-side scripts from tampering or reverse-engineering. Keeping both security and compliance intact.
Fraudsters fake GPS or mask their IP with VPNs to bypass geo-controls and abuse promotions. We go deeper—detecting location spoofing, unmasking real IP addresses, and exposing attackers hiding behind anti-association browsers and manipulated user-agents.
Beyond device ID, TrustDecision analyzes 150+ data points and dynamic signals—from typing patterns to browser fingerprint. It assigns risk labels in real time. Banks and fintechs can instantly flag automation, bots, or suspicious behavior.
Distinguishing every device—even after factory resets, app re-installs, or tampering attempts. TrustDecision’s device fingerprint links devices to their risk history, helping financial institutions spot fraud rings, repeat abusers, or synthetic identities.
TrustDecision's device fingerprint helps you detect hidden fraud signals and evaluate user risk at every step—from login to payment and loan monitoring.
Spot login attempts from unfamiliar or risky devices to prevent ATO and social engineering fraud.
Detect and stop abusive users who exploit promos, referrals, or top-ups by creating multiple accounts from the same device.
Apply device risk checks during sign-up or payment to flag untrustworthy users and reduce false positives.
Use device stability, behavioral history, and data consistency to supplement KYC and bureau data—safely approve underserved users.
Detect suspicious activities like location spoofing, factory resets, or shared device usage before disbursing loans.
Track behavioral changes post-disbursement, such as new devices or abnormal usage to detect risk shifts early.
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TrustDecision's Device Fingerprint solution creates a unique identifier for each device by gathering data such as hardware configuration, operating system, and software settings. This allows businesses to leverage device insights for fraud detection, user authentication, and personalized digital marketing. With high accuracy, our solution reliably identifies devices even in challenging scenarios like factory resets or tampering, making it especially beneficial for industries like e-commerce and financial services that require consistent, secure customer interactions.
Our device fingerprinting technology provides fraud detection through dynamic risk labeling and behavioral analysis of over 150 device parameters. By cross-referencing billions of device profiles globally, our solution identifies repeat offenders, flags anomalies, and detects threats like user-agent spoofing and device manipulation. This approach is especially valuable for digital banking and telecommunications, where secure customer interactions are critical.
Our Device Fingerprint stands out with industry-leading identification accuracy and stable performance, backed by a global database of over 8 billion devices. Our team consistently updates the system to counter evolving attack methods and underground risk tools, ensuring robust security in dynamic environments.
Our device fingerprinting solution not only detects fraud but also provides a personalized user experience by recognizing returning users across multiple devices. This capability allows businesses to offer seamless and consistent interactions, enhancing customer loyalty and trust. For sectors likesocial commerce and retail, this personalized experience can lead to increased customer retention and satisfaction.
Flexibility:Clients can access a wide range of insights, from indicators to full credit scores and credit reports, or opt for joint modeling to create a customized credit score that aligns perfectly with their business needs.
Detects behavioral anomalies by analyzing multi-source data and uncovering hidden risk signals
Recommends and refines decision strategies by mining features, testing variables, and adapting to evolving scenarios
Accelerates rule configuration, test validation, and model deployment through intelligent task automation
Automatically interprets and summarizes key insights from complex reports to streamline decision-making and reviews
Detects behavioral anomalies by analyzing multi-source data and uncovering hidden risk signals
Let’s talk about your needs – we’ll help you map the right solution, then guide you through a fast, API-ready trial to prove results.
