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Project Blackfin: Automated Breach Detection Using Intelligent Agents

December 4, 2019

This paper describes a distributed anomaly detection approach designed to accurately track actions performed by adversaries across a network. The illustrated approach involves running multiple machine learning models on both endpoints and the network as well as on a centralized backend, and includes communication and replication of learned states between these models.

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Based in Culver City, California, SCALABLE provides network design and analysis tools and cyber training systems that enable customers to develop, test and deploy large, sophisticated enterprise wireless networks and new communications equipment, and train personnel on cyber defense. Our solutions integrate software virtual networks with physical hardware and applications, allowing users to rapidly test a wide range of highly realistic scenarios for better operational planning, more effective training and enhanced communications effectiveness without the expense of building out physical infrastructure. SCALABLE provides a repeatable, verifiable and highly cost effective solution.

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Project Blackfin: Automated Breach Detection Using Intelligent Agents