AUTONOMOUS CYBER DEFENSE SYSTEMS POWERED BY AI FOR ENTERPRISE CLOUD ENVIRONMENTS

Authors

  • Rajesh Adepu Associate Principal and IT Architecture, GuideHouse LLC, United States of America. Author

DOI:

https://doi.org/10.15680/0t86cq03

Keywords:

Autonomous Cyber Defense, Artificial Intelligence in Cybersecurity, Cloud Security, Machine Learning, Threat Detection, Behavioral Analytics, Self-Healing Systems, Enterprise Cloud, Cyber Threat Intelligence, Zero Trust Security, Security Automation, Anomaly Detection

Abstract

The rapid expansion of enterprise cloud environments has significantly increased the complexity and scale of cybersecurity challenges. Traditional reactive security mechanisms are no longer sufficient to defend against sophisticated, fast-evolving cyber threats. This article explores the emergence of Autonomous Cyber Defense Systems powered by Artificial Intelligence (AI), which enable proactive, adaptive, and self-healing security capabilities in cloud-native ecosystems. These systems leverage machine learning, behavioral analytics, and real-time data processing to detect anomalies, predict potential threats, and respond autonomously without human intervention.

The paper presents a generalized architectural framework for AI-driven cyber defense in enterprise cloud environments, highlighting key components such as data ingestion pipelines, threat intelligence engines, decision-making models, and automated response mechanisms. It also examines the integration of these systems with modern cloud infrastructures, including multi-cloud and hybrid environments, while addressing scalability, interoperability, and latency challenges. Furthermore, the article discusses practical use cases, benefits, and limitations, including issues related to model bias, false positives, and governance.

Through a combination of conceptual analysis and structured design approaches, this study demonstrates how autonomous cyber defense systems can significantly enhance an organization's security posture, reduce response times, and minimize human dependency. The findings emphasize the need for a strategic balance between automation and human oversight to ensure reliable and ethical AI-driven security operations in enterprise cloud landscapes.

References

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Published

2026-04-14

How to Cite

AUTONOMOUS CYBER DEFENSE SYSTEMS POWERED BY AI FOR ENTERPRISE CLOUD ENVIRONMENTS. (2026). International Journal of Computer Technology and Electronics Communication, 9(2), 23-41. https://doi.org/10.15680/0t86cq03