Abstract: Methods and systems are presented for providing a framework to securely integrate third-party logic into electronic transaction processing workflow. Third-party programming code that implements different third-party logic may be obtained and stored in a repository. A transaction processing request is received from a third-party server, and an instance of a transaction processing module is instantiated within an operating runtime environment to process a transaction according to a workflow. When the instance of the transaction processing module has reached an interruption point, the instance of the transaction processing module is suspended, and a third-party programming code is executed within an isolated runtime environment. The third-party programming code is configured to provide an output value based on attributes of the transaction. The instance of the transaction processing module then determines whether to authorize or deny the transaction based in part on the output value.

Abstract: Methods and systems are presented for providing a framework to securely integrate third-party logic into electronic transaction processing workflow. Third-party programming code that implements different third-party logic may be obtained and stored in a repository. A transaction processing request is received from a third-party server, and an instance of a transaction processing module is instantiated within an operating runtime environment to process a transaction according to a workflow. When the instance of the transaction processing module has reached an interruption point, the instance of the transaction processing module is suspended, and a third-party programming code is executed within an isolated runtime environment. The third-party programming code is configured to provide an output value based on attributes of the transaction. The instance of the transaction processing module then determines whether to authorize or deny the transaction based in part on the output value.

Abstract: Techniques are disclosed relating to determining whether document objects included in an image correspond to known document types. In some embodiments, a computing system maintains information specifying a set of known document types. In some embodiments, the computing system receives an image that includes objects. In some embodiments, the computing system analyzes, using a first neural network, the image to identify a document object and location information specifying a location of the document object within the image. In some embodiments, the computing system determines, using a second neural network, whether the document object within the image corresponds to a document type specified in the set of known document types, where the determining is performed based on the location information of the document object. In some embodiments, disclosed techniques may assist in automatically extracting information from documents, which in turn may advantageously decrease processing time for onboarding new customers.

Abstract: Methods and systems are presented for providing a framework to securely integrate third-party logic into electronic transaction processing workflow. Third-party programming code that implements different third-party logic may be obtained and stored in a repository. A transaction processing request is received from a third-party server, and an instance of a transaction processing module is instantiated within an operating runtime environment to process a transaction according to a workflow. When the instance of the transaction processing module has reached an interruption point, the instance of the transaction processing module is suspended, and a third-party programming code is executed within an isolated runtime environment. The third-party programming code is configured to provide an output value based on attributes of the transaction. The instance of the transaction processing module then determines whether to authorize or deny the transaction based in part on the output value.

Abstract: There are provided systems and methods for intelligent clustering of account communities for account feature adjustment. A user may utilize an online account with the service provider to process transactions electronic. However, initially the account may be unverified or otherwise untrusted, and limits on electronic transaction processing may be imposed on the account. To provide intelligent feature adjustment, the service provider may utilize a machine learning technique to cluster verified accounts into communities based on their data representations. Thereafter, when a transaction by an unverified account violates a limit imposed on the unverified account, the service provider may process the unverified account using a machine learning model trained for account correlations to the community clusters in order to determine a corresponding community cluster of accounts and adjust a feature based on behaviors and traits of the verified accounts in the community cluster.

Abstract: Techniques are disclosed relating to determining whether document objects included in an image correspond to known document types. In some embodiments, a computing system maintains information specifying a set of known document types. In some embodiments, the computing system receives an image that includes objects. In some embodiments, the computing system analyzes, using a first neural network, the image to identify a document object and location information specifying a location of the document object within the image. In some embodiments, the computing system determines, using a second neural network, whether the document object within the image corresponds to a document type specified in the set of known document types, where the determining is performed based on the location information of the document object. In some embodiments, disclosed techniques may assist in automatically extracting information from documents, which in turn may advantageously decrease processing time for onboarding new customers.