DIU Seeks Machine Learning, Analytics Tech for Gov’t Fraud Detection Efforts

The Defense Innovation Unit is looking for potential sources of data analytics platforms driven by machine learning to support government efforts to identify and locate criminals engaged in transnational fraud.

DIU said in a notice it plans to facilitate a three-phase effort to prototype an ML-driven tool intended to ingest structured and unstructured data in various languages and alert authorities on information related to known criminals.

The Department of Defense component noted that the platform must utilize natural language processing functions, perform analyses of social and professional networks and detect anomalous behavior from a range of data sources including transactions and travel itineraries.

The technology must also deploy an open-systems architecture and be compatible with reporting tools as well as enterprise platforms, according to the notice.

DIU will select companies to present their proposals via teleconference as part of the program’s first phase. Companies downselected for the final phase will secure a prototype agreement and undergo a virtual workshop.

Interested parties may submit proposals through June 10.

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