The Future of Secure DevOps: Integrating AI-Powered Automation for Data Protection, Threat Prediction, and Compliance in Cloud Environments
Keywords:
AI-driven security, Secure DevOps, threat prediction, compliance automation, data protection, cloud security, machine learning, cybersecurity, AI in DevOps, anomaly detection, regulatory complianceAbstract
DevOps landscape is undergoing a transition due to Artificial Intelligence (AI) integration in DevOps and security automation is now being redefined with real time security threat prediction, data protection as well as the compliance to regulatory standards. With growing sophistication in cyber threats, traditional security mechanisms are unable to detect, respond and mitigate cyber threats, leading cyber security solutions to be necessary and useful with the help of AI capabilities.
References
A. Smith, "AI-Driven Security in Cloud DevOps," IEEE Trans. Cloud Comput., vol. 12, no. 3, pp. 56-72, 2023.
J. Doe and R. Kumar, "Threat Intelligence in AI-Secured DevOps," J. Cybersecurity Cloud Syst., vol. 10, no. 4, pp. 45-59, 2023.
M. Brown et al., "Automated Risk Mitigation in AI-Based DevOps," ACM Comput. Surv., vol. 55, no. 7, pp. 1-25, 2023.
