公开(公告)号：US11889024B2

公开(公告)日：2024-01-30

申请号：US17948991

申请日：2022-09-20

Applicant: Pindrop Security, Inc.

Inventor： John Cornwell ,  Terry Nelms, II

IPC: H04M3/00 ,  H04M5/00 ,  H04L12/66 ,  H04M3/51 ,  H04M3/22 ,  H04M3/42 ,  G06F18/214

CPC classification number: H04M3/5175 ,  G06F18/214 ,  H04M3/2218 ,  H04M3/2281 ,  H04M3/42059 ,  G06V2201/10

Abstract: Embodiments described herein provide for passive caller verification and/or passive fraud risk assessments for calls to customer call centers. Systems and methods may be used in real time as a call is coming into a call center. An analytics server of an analytics service looks at the purported Caller ID of the call, as well as the unaltered carrier metadata, which the analytics server then uses to generate or retrieve one or more probability scores using one or more lookup tables and/or a machine-learning model. A probability score indicates the likelihood that information derived using the Caller ID information has occurred or should occur given the carrier metadata received with the inbound call. The one or more probability scores be used to generate a risk score for the current call that indicates the probability of the call being valid (e.g., originated from a verified caller or calling device, non-fraudulent).

公开(公告)号：US20220337924A1

公开(公告)日：2022-10-20

申请号：US17857618

申请日：2022-07-05

Applicant: Pindrop Security, Inc.

Inventor： Nick Gaubitch ,  Scott Strong ,  John Cornwell ,  Hassan Kingravi ,  David Dewey

IPC: H04Q3/70 ,  H04M3/22 ,  H04M7/12 ,  H04Q1/45 ,  G10L25/51 ,  H04L25/02 ,  H04M3/493

Abstract: Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.