Abstract: Various systems and methods are provided that retrieve raw data from issuers, reorganize the raw data, analyze the reorganized data to determine whether the risky or malicious activity is occurring, and generate alerts to notify users of possible malicious activity. For example, the raw data is included in a plurality of tables. The system joins one or more tables to reorganize the data using several filtering techniques to reduce the processor load required to perform the join operation. Once the data is reorganized, the system executes one or more rules to analyze the reorganized data. Each rule is associated with a malicious activity. If any of the rules indicate that malicious activity is occurring, the system generates an alert for display to a user in an interactive user interface.

Abstract: Various systems and methods are provided that retrieve raw data from issuers, reorganize the raw data, analyze the reorganized data to determine whether the risky or malicious activity is occurring, and generate alerts to notify users of possible malicious activity. For example, the raw data is included in a plurality of tables. The system joins one or more tables to reorganize the data using several filtering techniques to reduce the processor load required to perform the join operation. Once the data is reorganized, the system executes one or more rules to analyze the reorganized data. Each rule is associated with a malicious activity. If any of the rules indicate that malicious activity is occurring, the system generates an alert for display to a user in an interactive user interface.

Abstract: Various systems and methods are provided that retrieve raw data from issuers, reorganize the raw data, analyze the reorganized data to determine whether the risky or malicious activity is occurring, and generate alerts to notify users of possible malicious activity. For example, the raw data is included in a plurality of tables. The system joins one or more tables to reorganize the data using several filtering techniques to reduce the processor load required to perform the join operation. Once the data is reorganized, the system executes one or more rules to analyze the reorganized data. Each rule is associated with a malicious activity. If any of the rules indicate that malicious activity is occurring, the system generates an alert for display to a user in an interactive user interface.

Abstract: Various systems and methods are provided that retrieve raw data from issuers, reorganize the raw data, analyze the reorganized data to determine whether the risky or malicious activity is occurring, and generate alerts to notify users of possible malicious activity. For example, the raw data is included in a plurality of tables. The system joins one or more tables to reorganize the data using several filtering techniques to reduce the processor load required to perform the join operation. Once the data is reorganized, the system executes one or more rules to analyze the reorganized data. Each rule is associated with a malicious activity. If any of the rules indicate that malicious activity is occurring, the system generates an alert for display to a user in an interactive user interface.

Abstract: Various systems and methods are provided that retrieve raw data from issuers, reorganize the raw data, analyze the reorganized data to determine whether the risky or malicious activity is occurring, and generate alerts to notify users of possible malicious activity. For example, the raw data is included in a plurality of tables. The system joins one or more tables to reorganize the data using several filtering techniques to reduce the processor load required to perform the join operation. Once the data is reorganized, the system executes one or more rules to analyze the reorganized data. Each rule is associated with a malicious activity. If any of the rules indicate that malicious activity is occurring, the system generates an alert for display to a user in an interactive user interface.

Abstract: Various systems and methods are provided that retrieve raw data from issuers, reorganize the raw data, analyze the reorganized data to determine whether the risky or malicious activity is occurring, and generate alerts to notify users of possible malicious activity. For example, the raw data is included in a plurality of tables. The system joins one or more tables to reorganize the data using several filtering techniques to reduce the processor load required to perform the join operation. Once the data is reorganized, the system executes one or more rules to analyze the reorganized data. Each rule is associated with a malicious activity. If any of the rules indicate that malicious activity is occurring, the system generates an alert for display to a user in an interactive user interface.

Abstract: Approaches for determining a potential merchant breach are described. A system can acquire card transaction data from one or more sources such as merchants or financial institutions, in some instances at a predetermined time interval. Cards associated with the card transaction data can be analyzed to determine the health of a particular card, including the likelihood that the particular card has been compromised. A set of cards are accumulated, and their associated health data is stored. Based on the information obtained from a source, and the health associated with a set of cards, a potential date where a merchant was breached can be determined and fraudulent purchases can be prevented.

Abstract: Various systems and methods are provided that retrieve raw data from issuers, reorganize the raw data, analyze the reorganized data to determine whether the risky or malicious activity is occurring, and generate alerts to notify users of possible malicious activity. For example, the raw data is included in a plurality of tables. The system joins one or more tables to reorganize the data using several filtering techniques to reduce the processor load required to perform the join operation. Once the data is reorganized, the system executes one or more rules to analyze the reorganized data. Each rule is associated with a malicious activity. If any of the rules indicate that malicious activity is occurring, the system generates an alert for display to a user in an interactive user interface.

Abstract: Approaches for determining a potential merchant breach are described. A system can acquire card transaction data from one or more sources such as merchants or financial institutions, in some instances at a predetermined time interval. Cards associated with the card transaction data can be analyzed to determine the health of a particular card, including the likelihood that the particular card has been compromised. A set of cards are accumulated, and their associated health data is stored. Based on the information obtained from a source, and the health associated with a set of cards, a potential date where a merchant was breached can be determined and fraudulent purchases can be prevented.

Abstract: Approaches for determining a potential payment card that has been tested or a testing site are disclosed. Based on a variety of information, including transaction information associated with one or more cards, information indicative of unscrupulous actors vetting cards can be determined. By reviewing transaction information, patterns can emerge such as a card being used in many different locations within a short time span. Based on these patterns, a test site or compromised merchant can be determined. After a test site is determined, other cards used at the particular test site can also be determined.

Abstract: Approaches for determining a potential merchant breach are described. A system can acquire card transaction data from one or more sources such as merchants or financial institutions, in some instances at a predetermined time interval. Cards associated with the card transaction data can be analyzed to determine the health of a particular card, including the likelihood that the particular card has been compromised. A set of cards are accumulated, and their associated health data is stored. Based on the information obtained from a source, and the health associated with a set of cards, a potential date where a merchant was breached can be determined and fraudulent purchases can be prevented.

Abstract: Various systems and methods are provided that retrieve raw data from issuers, reorganize the raw data, analyze the reorganized data to determine whether the risky or malicious activity is occurring, and generate alerts to notify users of possible malicious activity. For example, the raw data is included in a plurality of tables. The system joins one or more tables to reorganize the data using several filtering techniques to reduce the processor load required to perform the join operation. Once the data is reorganized, the system executes one or more rules to analyze the reorganized data. Each rule is associated with a malicious activity. If any of the rules indicate that malicious activity is occurring, the system generates an alert for display to a user in an interactive user interface.

Abstract: Approaches for determining a potential merchant breach are described. A system can acquire card transaction data from one or more sources such as merchants or financial institutions, in some instances at a predetermined time interval. Cards associated with the card transaction data can be analyzed to determine the health of a particular card, including the likelihood that the particular card has been compromised. A set of cards are accumulated, and their associated health data is stored. Based on the information obtained from a source, and the health associated with a set of cards, a potential date where a merchant was breached can be determined and fraudulent purchases can be prevented.