From helpnetsecurity.com
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.