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Bad actors use machine learning to break passwords more quickly and build malware that knows how to hide, experts warn.
Three cybersecurity experts explained how artificial intelligence and machine learning can be used to evade cybersecurity defenses and make breaches faster and more efficient during a NCSA and Nasdaq cybersecurity summit.
Kevin Coleman, the executive director of the National Cyber Security Alliance, hosted the conversation as part of Usable Security: Effecting and Measuring Change in Human Behavior on Tuesday, Oct. 6.
Elham Tabassi, chief of staff information technology laboratory, National Institute of Standards and Technology, was one of the panelists in the “Artificial Intelligence and Machine Learning for Cybersecurity: The Good, the Bad, and the Ugly” session.text
“Attackers can use AI to evade detections, to hide where they can’t be found, and automatically adapt to counter measures,” Tabassi said.