BAE to develop analytics to detect WMD threat activity

BAE Systems say it will develop advanced analytics technology to assist in the detection of weapons of mass destruction threat activity.

BAE Systems say it has received funding from the U.S. Defense Advanced Research Projects Agency’s (DARPA) Defense Sciences Office to develop advanced analytics technology that will assist in the detection and deterrence of weapons of mass destruction (WMD) activity, helping to ensure national security.

“The first-of-its-kind technology will leverage multiple data sources and uses data fusion, adversary modelling, pattern matching, and machine learning techniques to detect and identify indications of chemical, biological, radiological, nuclear and explosive (CBRNE) threat.

As part of DARPA’s SIGMA+ program, the BAE Systems FAST Labs™ research and development team will work with partners Barnstorm Research and Washington State University to create a technology solution called MATCH (Multi-info Alerting of Threat CBRNE Hypotheses).

MATCH will automatically populate a world graph using sensor and multi-source data to provide analysts visibility into threat activities in a metropolitan region. Using the graph, MATCH will create hypotheses that identify and characterise threatening CBRNE activity.”

“Our technology aims to help analysts close the loop between the analysis of information and the collection of new information to fill in the gaps and provide a comprehensive picture of a potential threat,” said Chris Eisenbies, product line director of the Autonomy, Controls, and Estimation group at BAE Systems in a news release.

“Most importantly, our solution automates a process that is currently manually intensive, improving an analyst’s ability to quickly and accurately identify CBRNE activity and ultimately, helping to protect our country from these significant dangers.”