Dynamic Cloud Workloads Security Policy with Reinforcement Learning
Keywords:
Reinforcement learning, proactive security, cloud workloads, dynamic environmentsAbstract
Dynamic cloud workload security is crucial when an enterprise expands and shifts its operation to cloud computing. Traditional security is not able to adapt to the changes in the cloud ecosystem and its threats. Reinforcement learning which is a subset of machine learning algorithm are able to automatically learns the threat mechanism and proactively deploys security policy to counter the attack and it continuously learns the appropriate defence for new threats.
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