Abstract: The invention relates to computer-implemented systems and methods for identifying and further preventing commercial or contract leakage across multiple different procurement relationships. This may involve ingesting a contract extracting commercial terms, such as price, rates, etc. Invoices may be similarly ingested and commercial terms may be extracted on a line item basis. An embodiment of the present invention may identify various types of commercial leakage, such as rate/price discrepancies, full/partial duplication, unrealized discounts, unrealized rebates, disallowance of charges (travel expenses), etc.

Abstract: The invention relates to computer-implemented systems and methods for analyzing data from a variety of data sources. Embodiments of the systems and the methods further provide for generating responses to specific questions based on the analyzed data, wherein the generating includes: retrieving related documents associated with the analyzed data; determining which information should be reported from which of the retrieved related documents; and providing a response based on the determination and a graph schema associated with the related documents.

Abstract: The invention relates to computer-implemented systems and methods for analyzing data from a variety of data sources. Embodiments of the systems and the methods further provide for generating responses to specific questions based on the analyzed data, wherein the generating includes: retrieving related documents associated with the analyzed data; determining which information should be reported from which of the retrieved related documents; and providing a response based on the determination and a graph schema associated with the related documents.

Abstract: A method for detecting instances of exfiltration by an application. The method includes performing a first set of runs on a first computation device, and performing a second set of runs on a second computation device. Each set of runs involves running the application a plurality of times; and for each run, capturing packets transmitted by the computation device. In some embodiments the packets within the first set of runs are compared to identify differences caused by environmental noise, such as run-to-run changes in the information sent to the first device by remote servers. Comparisons between (i) runs performed on the first device and (ii) runs performed on the second device, with differences caused by environmental noise removed, may then be used to assess whether the application exfiltrates personal information, such as a phone number, that has different values on the first device and on the second device.

Abstract: A method for detecting instances of exfiltration by an application. The method includes performing a first set of runs on a first computation device, and performing a second set of runs on a second computation device. Each set of runs involves running the application a plurality of times; and for each run, capturing packets transmitted by the computation device. In some embodiments the packets within the first set of runs are compared to identify differences caused by environmental noise, such as run-to-run changes in the information sent to the first device by remote servers. Comparisons between (i) runs performed on the first device and (ii) runs performed on the second device, with differences caused by environmental noise removed, may then be used to assess whether the application exfiltrates personal information, such as a phone number, that has different values on the first device and on the second device.