Catch bots, fake identities, and risky devices before they get in. Use device intelligence and behavior analysis to block disposable accounts, scripted signups, and bulk registrations at onboarding—no user friction, no false positives.
Track every user’s behavior to spot anomalies and evolving risks. Combine signals from device, registration, and login patterns to build dynamic risk profiles. Flag account takeovers, stolen credentials, and high-risk sessions, without blocking trusted users.
See the hidden connections between users, devices, and IPs. Expose coordinated abuse by identifying shared infrastructure, fake account clusters, and loan stacking networks. Stop promo abuse and repeated attacks at the root.
Protect every step of the lending journey, from registration to disbursement—with continuous risk screening
Our solution analyzes login patterns, behavioral anomalies, device fingerprints, and IP intelligence to detect signs of ATO — such as unusual access locations, sudden changes in device behavior, or use of emulators and automation tools — and blocks or flags sessions instantly.
TrustDecision protects against a wide range of account-related fraud:
Yes. Our solution is designed for fast and flexible integration via API/SDK and supports mobile apps, web platforms, and back-office systems. Many clients go live in under 2 days with minimal disruption.
Unlike rule-based systems, TrustDecision uses adaptive AI, behavioral intelligence, and real-time risk scoring to detect evolving fraud tactics. We go beyond static data to uncover hidden threats, coordinated fraud rings, and behavioral anomalies that traditional systems miss.
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.
