Cybersecurity takes a leap forward with AI tools and techniques
20-Feb-23
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.
