Abstract: A system for verifying an identity of a counterparty includes one or more processors and a memory storing instructions that, when executed, cause the system to receive identifying information from a user, transmit a consent prompt to the counterparty via an associated communication channel, receive consent and additional data including a full name and approximate location, determine whether the name is historically associated with the identifying information, analyze whether the identifying information corresponds to a temporary account based on service provider characteristics, correlate a device fingerprint of the counterparty's device with historical records linked to the identifying information, generate a scam risk score based on results of the determining and analyzing operations, and present the scam risk score and one or more risk-based recommendations to the user through a privacy-preserving interface.

Abstract: A system for third party initiated identity verification including: a communication interface configured to receive a transaction request associated with a sender and a counterparty; one or more processors; and a memory storing instructions that when executed by the one or more processors cause the system to: identify counterparty information associated with the transaction request; initiate a verification process with a scam monitoring system using the counterparty information; transmit a verification request to the counterparty; receive counterparty payment purpose information; perform identity verification checks on the counterparty; generate a verification result based on the identity verification checks and the counterparty payment purpose information; and provide the verification result to a third party for processing of the transaction.

Abstract: A system for verifying an identity of a counterparty includes one or more processors and a memory storing instructions that, when executed, cause the system to receive identifying information from a user, transmit a consent prompt to the counterparty via an associated communication channel, receive consent and additional data including a full name and approximate location, determine whether the name is historically associated with the identifying information, analyze whether the identifying information corresponds to a temporary account based on service provider characteristics, correlate a device fingerprint of the counterparty's device with historical records linked to the identifying information, generate a scam risk score based on results of the determining and analyzing operations, and present the scam risk score and one or more risk-based recommendations to the user through a privacy-preserving interface.

Abstract: A system for scam detection and prevention, the system including one or more processors; and a memory storing instructions that, when executed by the one or more processors, cause the system to perform operations including: receiving a communication comprising communication information; parsing the received communication information to extract attributes of the communication information; performing a series of deterministic checks on the attributes; performing a series of probabilistic analyses on the attributes, wherein the probabilistic analyses comprise using machine learning models trained on known legitimate communications and known fraudulent communications; aggregating the results of the deterministic checks and probabilistic analyses to generate a scam risk score; generating recommendations specific based on the generated scam risk score, deterministic checks, and probabilistic analyses; and presenting the scam risk score and the recommendations to a user.