Reinforcement learning is the path forward for AI integration into cybersecurity

AI’s algorithms and machine learning can cull through immense volumes of data efficiently and in a relatively short amount of time. This is instrumental to helping network defenders sift through a never-ending supply of alerts and identify those that pose a possible threat (instead of false positives). Reinforcement learning underpins the benefit of AI to the cybersecurity ecosystem and is closest to how humans learn through experience and trial and error. Unlike supervised learning, reinforcement … More →

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