Abstract: A method, computer program product, and computing system for receiving input information concerning a conversation between a caller and a recipient; processing the input information to assess a fraud-threat-level; defining a targeted response based, at least in part, upon the fraud-threat-level assessed, wherein the targeted response is intended to refine the assessed fraud-threat-level; and effectuating the targeted response.

Abstract: There is provided a method that includes (a) obtaining a first voice vector that was derived from a signal of a voice that was sampled at a first sampling frequency, (b) obtaining a second voice vector that was derived from a signal of a voice that was sampled at a second sampling frequency, (c) mapping the second voice vector into a mapped voice vector in accordance with a machine learning model, and (d) comparing the first voice vector to the mapped voice vector to yield a score that indicates a probability that the first voice vector and the second voice vector originated from a same person.

Abstract: A method, computer program product, and computing system for defining a correction factor for a biometric profile of a plurality of biometric profiles based upon, at least in part, a detection performance metric associated with the biometric profile. The biometric profile may be adjusted based upon, at least in part, the detection policy for the biometric profile.

Abstract: A method, computer program product, and computing system for generating a generative model representative of a plurality of natural biometric profiles. A plurality of random samples are generated from the generative model. A plurality of synthetic biometric profiles are generated based upon, at least in part, the plurality of random samples.

Abstract: A method, computer program product, and computing system for receiving input information concerning a conversation between a caller and a recipient; processing the input information to assess a fraud-threat-level; defining a targeted response based, at least in part, upon the fraud-threat-level assessed, wherein the targeted response is intended to refine the assessed fraud-threat-level; and effectuating the targeted response.

Abstract: A method, computer program product, and computing system for defining a correction factor for a biometric profile of a plurality of biometric profiles based upon, at least in part, a detection performance metric associated with the biometric profile. The biometric profile may be adjusted based upon, at least in part, the detection policy for the biometric profile.

Abstract: A method, computer program product, and computing system for receiving input information concerning a conversation between a caller and a recipient; processing the input information to assess a fraud-threat-level; defining a targeted response based, at least in part, upon the fraud-threat-level assessed, wherein the targeted response is intended to refine the assessed fraud-threat-level; and effectuating the targeted response.

Abstract: A method, computer program product, and computing system for receiving input information concerning a conversation between a caller and a recipient; processing the input information to assess a fraud-threat-level; defining a targeted response based, at least in part, upon the fraud-threat-level assessed, wherein the targeted response is intended to refine the assessed fraud-threat-level; and effectuating the targeted response.

Abstract: Conversation Print: A method, computer program product, and computing system for receiving voice-based content from a third-party. The voice-based content is processed to define a text-based transcript for the voice-based content. The voice-based content is processed to define speech-pattern indicia for the voice-based content. A conversation print for the voice-based content is generated based, at least in part, upon the text-based transcript and the speech-pattern indicia.

Abstract: A method, computer program product, and computing system for defining a conversation print for each of a plurality of known entities, thus defining a plurality of conversation prints. Voice-based content is received from a third-party. The voice-based content is compared to at least one of the plurality of conversation prints to identify the third party.

Abstract: A method, computer program product, and computing system for defining a conversation print for each of a plurality of known fraudsters, thus defining a plurality of fraudster conversation prints. The plurality of fraudster conversation prints is processed to identify one or more fraudster commonalities. A fraudster conversation template is generated based, at least in part, upon the one or more fraudster commonalities.

Abstract: A method, computer program product, and computing system for performing an assessment of initial input information, concerning a communication from a caller, to define an initial fraud-threat-level; if the initial fraud-threat-level is below a defined threat threshold, providing the communication to a recipient so that a conversation may occur between the recipient and the caller; performing an assessment of subsequent input information, concerning the conversation, to define a subsequent fraud-threat-level; and effectuating a targeted response based, at least in part, upon the subsequent fraud-threat-level, wherein the targeted response is intended to refine the subsequent fraud-threat-level.

Abstract: A method, computer program product, and computing system for defining a conversation print for each of a plurality of known entities, thus defining a plurality of conversation prints. Voice-based content is received from a third-party. The voice-based content is compared to at least one of the plurality of conversation prints to identify the third party.

Abstract: A method, computer program product, and computing system for defining a conversation print for each of a plurality of known fraudsters, thus defining a plurality of fraudster conversation prints. The plurality of fraudster conversation prints is processed to identify one or more fraudster commonalities. A fraudster conversation template is generated based, at least in part, upon the one or more fraudster commonalities.

Abstract: Conversation Print: A method, computer program product, and computing system for receiving voice-based content from a third-party. The voice-based content is processed to define a text-based transcript for the voice-based content. The voice-based content is processed to define speech-pattern indicia for the voice-based content. A conversation print for the voice-based content is generated based, at least in part, upon the text-based transcript and the speech-pattern indicia.