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Let’s discuss your goals—whether it’s reducing fraud losses, improving credit approvals, or scaling risk management.
ARGUS® Fraud Management Platform
Drag-and-drop interface lets teams customize logic, control execution modes (e.g., first-match, worst-match, weight mode), and trace every decision with full audit logs—all without writing code.
Automate low-risk transactions and trigger actions like block, MFA, or manual review based on dynamic rules, risk scores, and user behavioral data. Resolve escalated events with full customer context, histories, risk signals, and event timeline.
Deploy pre-trained or custom ML models tailored for synthetic IDs, mule chains, login anomalies, and more with explainable logic, full control, and audit readiness.
Optimize every strategy before going live. Simulate rule impact, compare versions, and tune performance with confidence—battle-test every rule before launch.
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 integrates device intelligence and behavioral analytics natively within the decision engine.
Device Intelligence:
Transaction Behavior Analytics:
Yes. TrustDecision features a fully no-code rule engine designed for fraud teams. Analysts can build, test, and deploy rules using:
This empowers your team to respond to threats immediately — without waiting for developers.
We reduce false positives using a closed-loop feedback system that improves over time:
The result? Fewer unnecessary blocks, higher detection accuracy, and better customer experience.
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 discuss your goals—whether it’s reducing fraud losses, improving credit approvals, or scaling risk management.
