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
The post Reinforcement learning is the path forward for AI integration into cybersecurity appeared first on Help Net Security.
This article has been indexed from Help Net Security