Agentic AI for Vulnerability Management in CloudNative Enterprise Architectures

The evolution of complex security challenges has rendered traditional vulnerability management techniques increasingly ineffective with the growing adoption of cloud-native enterprise architectures.The article is a literature review of the emergence of agentic artificial intelligence (AI) and its implementation as a revolution in the management of vulnerabilities in such dynamic environments.The agentic AIs are context sensitive, autonomous, and adaptive in the decision-making processes and are scalable in their capability to offer proactive security solutions, which can be changed to suit the dynamism of the enterprise IT infrastructures.The architecture, adaptive security models, privacy-sensitive models, threat analysis techniques, and commercial applications of agentic AI in cloud-native services will be discussed in the paper.It also unveils the fact that synergies in high-performance computing (HPC) can further enhance the capability of agentic AI agents in real-time security analytics.Building on the recent sources and the example of technical surveys and industry implementation, the review proposes Agentic AI as an enabler of resilient, intelligent, and autonomous vulnerability management in the modern-day ecosystem of the enterprise.