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Particularly with the emergence of deep learning, machine learning (ML) technologies are already being used to address various real-world issues. There is a huge gap between research and practise, but the application of ML in cyber security is still in its infancy. As a result of the current state of the art, which prevents recognising the function of ML in cyber security, this disagreement has its origins there. Beyond Detection: Additional Roles of Machine Learning in CybersecurityThere are numerous other functions in cyber security that ML can fill in addition to threat detection. To establish the groundwork for a greater deployment of ML solutions to safeguard present and future systems, this log aims to stimulate significant improvements of machine learning (ML) in the field of cyber security.

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