AI-Driven Cyber-Resilient Cloud-Native Architecture for Autonomous Enterprise Systems and Secure Digital Ecosystems
DOI:
https://doi.org/10.15662/IJEETR.2025.0704012Keywords:
AI-driven cybersecurity, Cyber resilience, Cloud-native architecture, Autonomous enterprise systems, Digital ecosystem security, Machine learning security, Threat detection, Security automation, Resilient infrastructure, Enterprise cybersecurityAbstract
The rapid advancement of digital technologies and cloud computing has enabled enterprises to develop autonomous systems capable of managing complex operations with minimal human intervention. However, this transformation has also increased cybersecurity risks due to highly distributed infrastructures, interconnected services, and continuously evolving cyber threats. To address these challenges, this paper proposes an AI-driven cyber-resilient cloud-native architecture designed to support autonomous enterprise systems and secure digital ecosystems. The proposed framework integrates artificial intelligence, cloud-native technologies, automated threat detection, and adaptive security mechanisms to ensure system resilience against cyberattacks. By leveraging machine learning models for predictive threat analysis and automated incident response, the architecture strengthens enterprise cybersecurity while maintaining system availability and operational continuity. The framework emphasizes proactive defense strategies, real-time monitoring, and self-healing capabilities that enable organizations to maintain secure and resilient digital environments.
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