AI-Powered Policy Management: Implementing Open Policy Agent (OPA) with Intelligent Agents in Kubernetes
DOI:
https://doi.org/10.48047/f5vc5s27Keywords:
Kubernetes, Open Policy Agent (OPA), AI-driven policy management, machine learning, intelligent agents, policy-as-code, anomaly detection, compliance automation, security governance, reinforcement learning, cloud-native security, automated policy enforcement, dynamic access control, real-time threat detection, policy optimization, DevOps, Site Reliability Engineering (SRE), cloud security, self-learning systems, AI in Kubernetes.Abstract
Organizations can now deploy and manage its applications with the help of Kubernetes as it is now the standard for container orchestration. Nevertheless, in large-scale environments, enforcing policy robustly, securing systems in conformance with the relevant security policies, and rendering the governance system (the root of control) accepting and dependable is a challenge. As a fine grained policy control framework in Kubernetes, Open Policy Agent (OPA) comes up.
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References
B. Burns, J. Beda, and K. Hightower, Kubernetes: Up and Running: Dive into the Future of Infrastructure. O’Reilly Media, 2019.
C. Zunino and D. Perez, “A survey on Kubernetes security: Issues and countermeasures,” Computers & Security, vol. 110, pp. 102423, 2021.
M. Fowler, “Policy as code: Automating security and compliance,” IEEE Software, vol. 39, no. 1, pp. 56-61, 2022.
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