Abstract: A system performs efficient execution of control tests for an organization. The system receives description of a set of controls. The system identifies a set of control tests associated with the controls. For each control, the system collects supporting information for the control. For each control test, the system performs the following steps. The system determines whether supporting information indicates that a condition required by the control failed to occur. The system determines whether the supporting information is applicable to the control test. The system determines whether the supporting information passes the control test. The system builds an output data structure representing a result of the control test. The system determines a final result by summarizing a set of results obtained from the set of control tests and performing a target action based on the final result.

Abstract: A system evaluates controls established for an organization. The system receives a description of a set of controls and a set of constraints. The system identifies a set of data sources storing information associated with the set of controls. The system stores vector representations of information obtained from the set of data sources in a vector database. For each control from the set of controls, the system extracts supporting information related to the control from the vector database based on vector distances. The system generates a structured query input describing the control and the supporting information, and inputs the structured query input into the trained transformer-based neural network. The system processes the output sequence generated by the trained transformer-based neural network to obtain a result indicating whether the control satisfies a constraint from the set of constraints. The system evaluates the set of controls based on the results.

Abstract: A system evaluates controls established for an organization. The system efficiently summarizes results of evaluation of controls established for an organization. The system receives description of a set of controls and identifies a set of control tests associated with the set of controls. The system collects a set of supporting information related to the controls. For each supporting information and for each control test, the system evaluates the supporting information with respect to the control test. For each control test, the system summarizes results of evaluating each supporting information applicable to the control test. For each control test group, the system obtains a control test group result by summarizing results of control tests belonging to the control test group. The system summarizes all control test group results to obtain an overall summarization result. The system performs an action based on the overall summarization result.

Abstract: The present invention provides for employing SQL to introduce blockchain technologies into a relational database, and thereby leverage the inherent tamper-resistant properties of blockchain, without the need to completely rewrite existing or legacy relational database software. The invention creates a relational database inside of a blockchain and uses a conventional SQL interface for standard database operations. This reduces the burden of introducing blockchain technologies, while providing the benefits of the intrinsic security and verification features of blockchain technology. The invention provides a rich historical record of every transaction thereby greatly reducing, if not eliminating, the relational database's susceptibility to tampering. This allows for temporal queries on arbitrary records within the database and the generation of reports and audits for any point in the history of the database.

Abstract: Methods and systems for implementing an object identification system equipped to reduce the number of service calls for remote object identification lookups are disclosed. The object identification management server works to reduce the number of object identification requests, which overall improves the process of quickly and accurately providing object identifications when needed and without unnecessarily wasting computing resources. The object identification server can subsequently manage the number of identification requests by setting a tunable threshold, which allows a system to operate more efficiently and allocate computing resources accordingly.

Abstract: Methods and systems for implementing an object identification system equipped to reduce the number of service calls for remote object identification lookups are disclosed. The object identification management server works to reduce the number of object identification requests, which overall improves the process of quickly and accurately providing object identifications when needed and without unnecessarily wasting computing resources. The object identification server can subsequently manage the number of identification requests by setting a tunable threshold, which allows a system to operate more efficiently and allocate computing resources accordingly.

Abstract: The present invention provides for employing SQL to introduce blockchain technologies into a relational database, and thereby leverage the inherent tamper-resistant properties of blockchain, without the need to completely rewrite existing or legacy relational database software. The invention creates a relational database inside of a blockchain and uses a conventional SQL interface for standard database operations. This reduces the burden of introducing blockchain technologies, while providing the benefits of the intrinsic security and verification features of blockchain technology. The invention provides a rich historical record of every transaction thereby greatly reducing, if not eliminating, the relational database's susceptibility to tampering. This allows for temporal queries on arbitrary records within the database and the generation of reports and audits for any point in the history of the database.

Abstract: The present invention provides for employing SQL to introduce blockchain technologies into a relational database, and thereby leverage the inherent tamper-resistant properties of blockchain, without the need to completely rewrite existing or legacy relational database software. The invention creates a relational database inside of a blockchain and uses a conventional SQL interface for standard database operations. This reduces the burden of introducing blockchain technologies, while providing the benefits of the intrinsic security and verification features of blockchain technology. The invention provides a rich historical record of every transaction thereby greatly reducing, if not eliminating, the relational database's susceptibility to tampering. This allows for temporal queries on arbitrary records within the database and the generation of reports and audits for any point in the history of the database.