Cybersecurity takes a leap forward with AI tools and techniques


When faced with sophisticated cyberattacks in a rigorous simulation setting, deep reinforcement learning was effective at stopping adversaries from reaching their goals up to 95 percent of the time. The outcome offers promise for a role for autonomous AI in proactive cyber defense.

Scientists from the Department of Energy’s Pacific Northwest National Laboratory (PNNL) documented their findings in a research paper.

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