Abstract: A computer-implemented method for monitoring a customer to detect money laundering activity at a first computer system includes receiving, from a second computer system, customer data including transactional information of the customer. The method also includes generating a money laundering risk score based on the customer data. The method further includes selecting, based on whether the money laundering risk score is less than or greater than a threshold, a monitoring category from a first category and a second category to monitor transaction data related to transactions of the customer. The method also includes monitoring the transaction data associated with the customer based on a first monitoring standard in accordance with selecting the first category for the monitoring category. The method still further includes transmitting, to a third computer system, a suspicious money laundering activity report based on detecting suspicious money laundering activity while monitoring the transaction data.

Abstract: A computer-implemented method monitors a customer to detect money laundering activity at a first computer system by receiving a set of data related to at least a portion of transactional information of the customer, and transforming the set of data into a money laundering risk score of the customer. The method includes selecting a monitoring level to monitor data related to transactions of the customer based on the money laundering risk score. A first monitoring level is selected in response to the money laundering risk score being greater than a threshold. A second monitoring level is selected in response to the money laundering risk score being less than the threshold. The method includes transmitting at least a portion of personal data associated with the customer when the first monitoring level is selected and the first monitoring method detects that the customer matches a condition.

Abstract: A computer system for verifying whether two existing sets of confidential electronic data are identical by transforming the two existing sets of confidential electronic data into two new sets of electronic data that are no longer confidential, and then comparing the two new sets of electronic data. As a result, the confidentiality of the two existing sets of electronic data is maintained.

Abstract: A computer-implemented method for sharing information about a subject without disclosing identification information about the subject includes comparing, by a first computer system, a third set of data with a fourth set of data. The third set of data is converted by a transformation from a first set of identification data of a first subject provided by the first computer system. The fourth set of data is converted by the transformation from a second set of identification data of a second subject provided by a second computer system. The transformation renders the first subject unidentifiable from the third set of data and the second subject unidentifiable from the fourth set of data. The computer-implemented method also includes transmitting, from the first computer system to the second computer, a fifth set of data when the third set of data corresponds to the fourth set of data.

Abstract: A computer-implemented method monitors a customer to detect money laundering activity at a first computer system by receiving a set of data related to at least a portion of transactional information of the customer, and transforming the set of data into a money laundering risk score of the customer. The method includes selecting a monitoring level to monitor data related to transactions of the customer based on the money laundering risk score. A first monitoring level is selected in response to the money laundering risk score being greater than a threshold. A second monitoring level is selected in response to the money laundering risk score being less than the threshold. The method includes transmitting at least a portion of personal data associated with the customer when the first monitoring level is selected and the first monitoring method detects that the customer matches a condition.

Abstract: A computer system uses risk-based principles to identify customers who have conducted money laundering activities. A money laundering risk score is derived from transactional information, background information, and/or due diligence information for each customer of a group of customers. Customers with higher money laundering risks are identified and monitored more closely. The computer system also assists a user to identify at least one transaction that has caused the identified customer to have a money laundering risk score that is in the higher percentiles of the customers.

Abstract: A computer-implemented method for sharing information about a subject without disclosing identification information about the subject includes comparing, by a first computer system, a third set of data with a fourth set of data. The third set of data is converted by a transformation from a first set of identification data of a first subject provided by the first computer system. The fourth set of data is converted by the transformation from a second set of identification data of a second subject provided by a second computer system. The transformation renders the first subject unidentifiable from the third set of data and the second subject unidentifiable from the fourth set of data. The computer-implemented method also includes transmitting, from the first computer system to the second computer, a fifth set of data when the third set of data corresponds to the fourth set of data.

Abstract: A computer-implemented method for sharing information about a subject without disclosing identification information of the subject includes comparing, by a computer system, a third set of data with a fourth set of data. The third set of data is converted by a transformation from a first set of data. The first set of data comprises identification information of a first subject. The fourth set of data is converted by the transformation from a second set of data. The second set of data comprises identification information of a second subject. The transformation renders the first subject unidentifiable from the third set of data and the second subject unidentifiable from the fourth set of data. The computer-implemented method also determines, by the computer system, that the first subject corresponds to the second subject when the third set of data corresponds to the fourth set of data.

Abstract: A method stores, at a first computer system, first data associated with a user, a first portion of a first account number associated with the first data, and third data associated with the first data. An identity of the user is unidentifiable from the first data. The method receives, at the first computer system, a second portion of a second account number from a second computer system, second data generated by the second computer system based on electronically obtained identification information. The method transmits, by the first computer system, a message associated with the user based on the third data when the second data corresponds to the first data and the second portion of the second account number corresponds to the first portion of the first account number. The message is for completing a transaction, preventing a crime, making a statement, triggering a response, and/or giving an instruction.