Abstract: A self-updating system for defending against a cyberattack requests connected devices to solve a problem that is created in a random manner. The problems are created in a manner such that the system can determine whether the client device is being used as part of a cyberattack based on how the client device responds to the problems.

Abstract: A triaged approach is implemented to detect and prevent electronic attacks against online entities and to reduce latency. Transaction requests are classified into different tiers and are treated differently based on the tier status. For example, transaction requests to conduct transactions with an entity are received from a client system. Characteristics such as rate or amounts of transactions of the transaction requests are analyzed. The characteristics are compared against specified threshold limits to assess whether the specified threshold limits are exceeded. Based on an assessment that at least one of the specified threshold limits is exceeded, a set of computer instructions is selected from different sets of computer instructions for execution on the client system. A result of an execution is received from the client system. Based on the result of the execution, a determination is made whether the transaction requests appear to have originated from a machine-automated submission process.

Abstract: A self-updating system for defending against a cyberattack requests connected devices to solve a problem that is created in a random manner. The problems are created in a manner such that the system can determine whether the client device is being used as part of a cyberattack based on how the client device responds to the problems.

Abstract: A triaged approach is implemented to detect and prevent electronic attacks against online entities and to reduce latency. Transaction requests are classified into different tiers and are treated differently based on the tier status. For example, transaction requests to conduct transactions with an entity are received from a client system. Characteristics such as rate or amounts of transactions of the transaction requests are analyzed. The characteristics are compared against specified threshold limits to assess whether the specified threshold limits are exceeded. Based on an assessment that at least one of the specified threshold limits is exceeded, a set of computer instructions is selected from different sets of computer instructions for execution on the client system. A result of an execution is received from the client system. Based on the result of the execution, a determination is made whether the transaction requests appear to have originated from a machine-automated submission process.

Abstract: A self-updating system for defending against a cyberattack requests connected devices to solve a problem that is created in a random manner. The problems are created in a manner such that the system can determine whether the client device is being used as part of a cyberattack based on how the client device responds to the problems.

Abstract: A self-updating system for defending against a cyberattack requests connected devices to solve a problem that is created in a random manner. The problems are created in a manner such that the system can determine whether the client device is being used as part of a cyberattack based on how the client device responds to the problems.

Abstract: A self-updating system for defending against a cyberattack requests connected devices to solve a problem that is created in a random manner. The problems are created in a manner such that the system can determine whether the client device is being used as part of a cyberattack based on how the client device responds to the problems.

Abstract: A self-updating system for defending against a cyberattack requests connected devices to solve a problem that is created in a random manner. The problems are created in a manner such that the system can determine whether the client device is being used as part of a cyberattack based on how the client device responds to the problems.

Abstract: A method and a system for creating, updating and processing a universal profile which includes an aggregation of previous transaction with multiple, distinct transaction entities. A universal profile (UP) manager creates a universal profile for an account. The universal profile comprises transaction data based on an aggregate of transactions with multiple, distinct transaction entities. The UP manager receives a universal profile preference indicating whether at least a portion of the transaction data is to be shared. The UP manager provides the transaction data to a particular transaction entity according to the universal profile preference. The UP manager receives, from the particular transaction entity, a transaction context comprising at least a portion of a transaction customized based on transaction data shared according to the universal profile preference.

Abstract: A self-updating system for defending against a cyberattack requests connected devices to solve a problem that is created in a random manner. The problems are created in a manner such that the system can determine whether the client device is being used as part of a cyberattack based on how the client device responds to the problems.

Abstract: A self-updating system for defending against a cyberattack requests connected devices to solve a problem that is created in a random manner. The problems are created in a manner such that the system can determine whether the client device is being used as part of a cyberattack based on how the client device responds to the problems.

Abstract: Systems and methods according to one or more embodiments enhance a user's transaction experience. In an embodiment, a system includes a computer memory storing a user profile. The system also includes a computer processor operatively coupled to the computer memory. The computer processor is configured to perform the following operations: determining a location of a user associated with a user device; and automatically changing an image displayed on the user device based on the location of the user associated with the user device and data determined or inferred based on, at least in part, data comprising the user profile.

Abstract: A method and a system for creating, updating and processing a universal profile which includes an aggregation of previous transaction with multiple, distinct transaction entities. A universal profile (UP) manager creates a universal profile for an account. The universal profile comprises transaction data based on an aggregate of transactions with multiple, distinct transaction entities. The UP manager receives a universal profile preference indicating whether at least a portion of the transaction data is to be shared. The UP manager provides the transaction data to a particular transaction entity according to the universal profile preference. The UP manager receives, from the particular transaction entity, a transaction context comprising at least a portion of a transaction customized based on transaction data shared according to the universal profile preference.

Abstract: Systems and methods according to one or more embodiments enhance a user's transaction experience. In an embodiment, a system includes a computer memory storing a user profile. The system also includes a computer processor operatively coupled to the computer memory. The computer processor is configured to perform the following operations: determining a location of a user associated with a user device; and automatically changing an image displayed on the user device based on the location of the user associated with the user device and data determined or inferred based on, at least in part, data comprising the user profile.