Explainable AI and Cloud-Native Security Solutions for Enterprise Transformation and Threat Mitigation

Abstract

Explainable Artificial Intelligence (XAI) and cloud-native security solutions are becoming essential technologies in modern enterprise transformation and cybersecurity management. Organizations increasingly depend on cloud-native infrastructures, microservices, containerized applications, and distributed computing environments to support digital operations and enterprise innovation. However, the rapid growth of cloud-based systems has also increased the complexity of cybersecurity threats, including ransomware attacks, insider threats, data breaches, and advanced persistent attacks. Traditional security mechanisms often fail to provide transparency and adaptive threat response capabilities in dynamic enterprise ecosystems. Explainable AI addresses these limitations by offering interpretable and transparent machine learning models that enable organizations to understand, trust, and validate AI-driven security decisions. Cloud-native security solutions integrate automated monitoring, container security, zero-trust architectures, identity management, and real-time threat intelligence to protect enterprise infrastructures from evolving cyber risks. The combination of XAI and cloud-native security frameworks improves operational resilience, enhances compliance management, and supports intelligent decision-making processes. This study explores the significance of Explainable AI and cloud-native cybersecurity technologies in enterprise transformation and threat mitigation. It further examines existing research, implementation methodologies, technological challenges, advantages, and limitations associated with these intelligent security frameworks in modern cloud-based enterprise environments.