Rules & Scenarios
Out‑of‑the‑box rules for card‑not‑present, account takeover, mule patterns; configurable thresholds & whitelists.
Real‑time fraud prevention across cards, payments, digital channels, and onboarding — rules + machine learning, device & behavioral signals, velocity checks, graph/link analysis, and case management to reduce losses and false positives.
Out‑of‑the‑box rules for card‑not‑present, account takeover, mule patterns; configurable thresholds & whitelists.
Supervised/unsupervised models, feature store, champion/challenger, and drift monitoring.
Device fingerprint, IP/proxy risk, geo‑velocity, typing/swipe patterns.
Txn/day caps, merchant/category controls, velocity windows, and risk‑based step‑up auth.
Network views of accounts, devices, and merchants to uncover collusion & mules.
Synchronous scoring for cards/payments/login; async batch scoring for back‑book.
Alert triage, queues, workbins, investigation notes, evidence, and dispositions.
Analyst labels to retrain models; rule hit analysis and false‑positive tracking.
Loss, saves, alert volumes, latency, and rule/model performance.
Tokenization, masking, and retention policies with full audit trail.