An ML-driven detection layer with adaptive enforcement and a low-friction Grace Lane that lets falsely flagged, high-LTV customers self-authenticate and finish their transaction — without exposing the system to systemic risk.
Real-time dashboards, case queue, explainable risk scores, model lifecycle and threshold tuning for analysts and risk managers.
A friendly, mobile-first step-up flow that picks up flagged customers mid-checkout and lets them self-verify via SMS code or selfie check.