Patent ID: 11887126
Assignee: SIFT SCIENCE, INC.
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. The machine learning-based method according to claim 1, wherein:
the plurality of distinct digital event classification paths include:
(a) one or more first distinct digital event classification paths that are configured to classify a subject digital event as likely relating to a digital fraud event; and
(b) one or more second distinct digital event classification paths that are configured to classify the subject digital event as likely relating to genuine digital activity, and

the plurality of distinct automated digital event decisioning routes defined in the probationary automated fraud or abuse detection workflow include:
(c) one or more first distinct automated digital event decisioning routes corresponding to the one or more first distinct digital event classification paths, wherein the one or more first distinct automated digital event decisioning routes enable a target digital event to be processed to completion; and
(d) one or more second distinct automated digital event decisioning routes corresponding to the one or more second distinct digital event classification paths, wherein the one or more second distinct automated digital event decisioning routes prevent a target digital event from being processed to completion.