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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.

Spotlight

iSOC24 B.V.

The ability of organizations to inherently ensure security of information and optimally facilitate the business needs will become a critical success factor. It will enable them to innovate and adapt to market changes fast, without leaving them vulnerable.

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Project Blackfin: Automated Breach Detection Using Intelligent Agents