United Services Automobile Association (Usaa)

Michael P Gout

Bipin Chadha

Lambros Petropoulos

Fredrick William Rodgers

Christopher Edward Flores

Benjamin James Nadeau

Techniques are described for communicating between two organizations without exchanging sensitive private information. One of the methods includes generating a token representative of private data. The method includes identifying at least one entity associated with the private data. The method includes associating the token with at least one entity. The method also includes providing information identifying at least one entity and the token to a machine learning system.

Token based communications for machine learning systems

Embodiments of the present disclosure include systems and methods for scanning for and identifying sensitive data in unexpected locations of data storage structures. Once sensitive data is found in unexpected locations of data storage structures, actions can be taken to remediate the unexpected storage of the sensitive data.

Systems and methods for precise sensitive data detection

Systems and methods simulate call centers networks and call loads to test load balancing and routing. The simulation can be used for generating, using a load balancer, a call score for the one or more calls based on the call information and selecting, using the load balancer, one of the simulated call centers as a selected call center based on the call score and the respective response entity profile.

Systems and methods for simulating multiple call center balancing

Systems and methods simulate call centers networks and call loads to test load balancing and routing. Performance can be logged to memorialize the load balancing and routing techniques' handling of different loads. This allows the testing of new algorithms or architectures and stress testing of existing architectures in non-production environments. Load balancing can be based on a call score, and routing can invoke proprietary routing protocols.

Systems and methods balance loads of traffic directed to various response entities. Systems and methods alternatively or complementarily generate simulated loads of traffic for handling by various response entities or load balancing algorithms.

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San Antonio, TX, United States of America

Michael P Gout