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Using Machine Learning to Automate Detection and Response

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Adversaries use Artificial Intelligence to accelerate and scale their attacks. Defenders can use AI and machine-learning analytics to accelerate and scale not only detections, but also response actions. In this video interview with SANS, Fidelis Cybersecurity CTO Craig Harber explores how defenders can outfight the adversary by using machine-learning capabilities, to better understand attacker TTPs, and to help predict impactful response actions. Machine-learning capabilities give security teams the ability to automate detections and response so that you can decide and act faster than the attacker.