Cybersecurity takes a leap forward with AI tools and techniques


In order to use deep reinforcement learning, also known as DRL, a type of artificial intelligence, to defend computer networks, scientists have made a significant advancement. In a study, researchers from the Department of Energy’s Pacific Northwest National Laboratory (PNNL) presented their findings.

Deep reinforcement learning effectively prevented adversaries from achieving their goals up to 95% of the time when confronted with sophisticated cyberattacks in a demanding simulation environment. The result raises the possibility of autonomous AI playing a part in proactive cyber protection.

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