Abstract: A method may include generating a user interface (UI) to facilitate interaction with a risk management system. The UI may include a first element indicating a rule used by the risk management system to manage risk for a client, a second element indicating effectiveness of the rule, and a third element invocable to modify the rule. The method may also include monitoring activity of the client to determine whether the activity of the client shifts the client into a different category of client; determining that the client is shifted into the different category; based on the shift, modifying the second element to include a recommended modification to the rule; and in response to receiving an interaction with the second element, applying the recommended modification to the rule.

Abstract: A method may include generating a user interface (UI) to facilitate interaction with a risk management system. The UI may include a first element indicating a rule used by the risk management system to manage risk for a client, a second element indicating effectiveness of the rule, and a third element invocable to modify the rule. The method may also include monitoring activity of the client to determine whether the activity of the client shifts the client into a different category of client; determining that the client is shifted into the different category; based on the shift, modifying the second element to include a recommended modification to the rule; and in response to receiving an interaction with the second element, applying the recommended modification to the rule.

Abstract: Systems, methods, and computer program products are directed to machine learning techniques that use a separate embedding layer. This can allow for continuous monitoring of a processing system based on events that are continuously generated. Various events may have corresponding feature data associated with at least one action relating to a processing system. Embedding vectors that correspond to the features are retrieved from an embedding layer that is hosted on a separate physical device or a separate computer system from a computer that hosts the machine learning system. The embedding vectors are processed though the machine learning model, which may then make a determination (e.g. whether or not a particular user action should be allowed). Generic embedding vectors additionally enable the use of a single remote embedding layer for multiple different machine learning models, such as event driven data models.

Abstract: In some example embodiments, a system and method are provided for graph pattern analysis. In example embodiments, pattern data of a primary network that includes data relating to relationships between entities are received. A reference matrix comprising a plurality of secondary network determined based on the pattern data of the primary network is generated. A graphical display of the primary network and the reference matrix are displayed on a user interface. A selection of a secondary network from the plurality of secondary networks of the reference matrix is received. The selected secondary network has similar matching characteristics with at least a portion of the primary network. In response to the selection, the primary network is classified as a classification type related to the selected secondary network.

Abstract: A method may include generating a user interface (UI) to facilitate interaction with a risk management system. The UI may include a first element indicating a rule used by the risk management system to manage risk for a client, a second element indicating effectiveness of the rule, and a third element invocable to modify the rule. The method may also include monitoring activity of the client to determine whether the activity of the client shifts the client into a different category of client; determining that the client is shifted into the different category; based on the shift, modifying the second element to include a recommended modification to the rule; and in response to receiving an interaction with the second element, applying the recommended modification to the rule.

Abstract: In one example embodiment, a system and method is shown as including identifying a context set data defining a context within which a person resides. Next, an operation is executed so as to retrieve the context set data that includes person data and relationship between persons data, the relationship between persons data including certain characteristics that define the person in the context set. An operation may be executed so as to perform a set operation on the person in the context set so as to generate a graph set. Further, an operation may be executed to render a graphical representation of the context set.

Abstract: This document discusses, among other things, a system and method for detecting an initiation of a transaction and generating a string of characters based on the detection. A subset of characters of the string of characters is presented in such a way as to be distinguished from remaining characters of the string of characters. In various example embodiments, the transaction is validated based on an identification of the subset of characters of the string of characters.

Abstract: In some example embodiments, a system and method are provided for graph pattern analysis. In example embodiments, pattern data of a primary network that includes data relating to relationships between entities are received. A reference matrix comprising a plurality of secondary network determined based on the pattern data of the primary network is generated A graphical display of the primary network and the reference matrix are displayed on a user interface. A selection of a secondary network from the plurality of secondary networks of the reference matrix is received. The selected secondary network has similar matching characteristics with at least a portion of the primary network. In response to the selection, the primary network is classified as a classification type related to the selected secondary network.

Abstract: In some example embodiments, a system and method are provided for graph pattern analysis. In example embodiments, pattern data of a primary network that includes data relating to relationships between entities are received. A secondary network based on the pattern data of the primary network is generated by using an algorithm that processes pattern characteristics extracted from the pattern data. The generated secondary network is provided for further analysis.

Abstract: This document discusses, among other things, a system and method for detecting an initiation of a transaction and generating a string of characters based on the detection. A subset of characters of the string of characters is presented in such a way as to be distinguished from remaining characters of the string of characters. In various example embodiments, the transaction is validated based on an identification of the subset of characters of the string of characters.

Abstract: Various methods and systems are provided to allow different users to search for company-specific terms in a terminology database maintained by a company or website. Information about the terminology provided to the user may include acceptability of use, details of acceptable or unacceptable use, description, synonyms, and related terms. Terms not found in the database may be added from a submission by the user. As a result, users may better understand terminology used by the company or website. In other embodiments, terminology can be searched for acceptable use in social networking sites or other areas or searched for plagiarism.

Abstract: A system and method for providing key challenge validation is provided. In example embodiments, an initiation of a transaction is detected and a challenge comprising a string of characters is generated based on the detection. The string of characters includes transaction specific information indicating a detail of the transaction. The challenge is presented whereby the string of characters includes a challenge key. A response to the challenge is received that includes the challenge key. In various example embodiments, the transaction is validated based on an identification of the key challenge of the string of characters.

Abstract: In one example embodiment, a system and method is shown as including identifying a context set data defining a context within which a person resides. Next, an operation is executed so as to retrieve the context set data that includes person data and relationship between persons data, the relationship between persons data including certain characteristics that define the person in the context set. An operation may be executed so as to perform a set operation on the person in the context set so as to generate a graph set. Further, an operation may be executed to render a graphical representation of the context set.

Abstract: In some example embodiments, a system and method is illustrated as including receiving an indication of a period of time and a recursive operation to segment the period of time. Account data including at least one account identifier and transaction data for the at least one account identifier for the period of time is retrieved. Further, in some example embodiments, a matrix is generated based on the retrieved account data. The recursive operation is executed, whereby the execution results in a graphical effect showing the changes of the transaction data over the period of time.

Abstract: In one example embodiment, a system and method is shown as including identifying a context set data defining a context within which a person resides. Next, an operation is executed so as to retrieve the context set data that includes person data and relationship between persons data, the relationship between persons data including certain characteristics that define the person in the context set. An operation may be executed so as to perform a set operation on the person in the context set so as to generate a graph set. Further, an operation may be executed to render a graphical representation of the context set.

Abstract: In some example embodiments, a system and method is illustrated as including retrieving account data including at least one of an account identifier and transaction data. Further, in some example embodiments, a data structure is generated that includes the account data. Additionally, in some example embodiments, the data structure is sorted where the data structure includes the account data to create a sorted account data structure. In some example embodiments, a sorted account data structure is displayed.

Abstract: A system and method for providing key challenge validation is provided. In example embodiments, an initiation of a transaction is detected and a challenge comprising a string of characters is generated based on the detection. The string of characters includes transaction specific information indicating a detail of the transaction. The challenge is presented whereby the string of characters includes a challenge key. A response to the challenge is received that includes the challenge key. In various example embodiments, the transaction is validated based on an identification of the key challenge of the string of characters.

Abstract: This document discusses, among other things, a system and method for detecting an initiation of a transaction and generating a string of characters based on the detection. A first portion of the string of characters may be presented in such a way as to be distinguished from a second portion of the string of characters. In various example embodiments, the transaction is validated based on an identification of the first portion of the string of characters.

Abstract: In some example embodiments, a system and method are illustrated as including receive pattern data that includes transaction data relating to transactions between persons. Next, the system and method may include building at least one secondary network based upon the pattern data. Additionally, the system and method may include displaying the at least one secondary network.

Abstract: In some example embodiments, a system and method are illustrated as including receive pattern data that includes transaction data relating to transactions between persons. Next, the system and method may include building at least one secondary network based upon the pattern data. Additionally, the system and method may include displaying the at least one secondary network.