"Computer Scientists Awarded $3M to Bolster Cybersecurity"

The Defense Advanced Research Projects Agency (DARPA), the research and development agency of the US Department of Defense (DOD), has awarded a team of computer scientists at Cornell University a $3 million grant in support of using reinforcement learning to make computer networks more robust, dynamic, and secure. The researchers hope that their project titled LANCER (LeArning Network CybERagents) will result in more intelligent and dynamic defenses for cybersecurity professionals in the ongoing cat-and-mouse game between attackers and defenders. Using reinforcement learning and reams of network data, the Cornell team will create Artificial Intelligence (AI) versions of the cat and the mouse, pitting them against each other. The goal is to enable these AI models to train each other, allowing defenders to predict attack sequences and detect attacks faster and without human intervention. This AI-powered defender model offers a proactive and automated tool for bolstering computer networks. This article continues to discuss the LANCER project.

Cornell University reports "Computer Scientists Awarded $3M to Bolster Cybersecurity"

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