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September 15, 2016

General Dynamics wins AFRL contract to design threat detection software

General Dynamics Mission Systems has been contracted by the US Air Force Research Laboratory (AFRL) to design and develop a cloud-based threat detection and analysis platform.

General Dynamics Mission Systems has been contracted by the US Air Force Research Laboratory (AFRL) to design and develop a cloud-based threat detection and analysis platform.

The proposed software prototype is said to correlate geospatial intelligence, signals intelligence and cyber indicator and warning data streams for intelligence analysts.

Using this cloud-based prototype, the Intelligence Community will be able to facilitate faster analysis and response to critical national security threats.

"The automation within the prototype platform shortens the time between threat identification and response, allowing customers to act with confidence."

General Dynamics Mission Systems cyber and electronic warfare systems general manager and vice-president Mike Tweed-Kent said: "In a time when threats are pervasive and emerging, the Intelligence Community and senior military leaders need real-time situational awareness and actionable intelligence.

"The automation within the prototype platform shortens the time between threat identification and response, allowing customers to act with confidence.

"The open architecture, modular design of the platform allows for quick injection of enabling technologies as needed to keep mission capabilities aligned with analyst needs."

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The company will use open architecture to design the threat detection and analysis platform, which is expected to automate threat assessments.

This prototype will help analysts reduce delays in data access and extraction, fuse intelligence from multiple data sources, provide analyses for faster delivery of enhanced intelligence, and increase accessibility across user communities, the company said.

General Dynamics said that a prior investment in relevant research and development will allow it to deliver the initial prototype platform in an abbreviated timeframe.

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