Strengthening Enterprise Data Intelligence with Agentic AI Cloud Computing and Zero Trust Security Frameworks

Authors

  • A.V. Kalpana Department of Computer Science and Engineering, SRM Institute of Science & Technology, Chennai, India Author

DOI:

https://doi.org/10.64235/q0nb9664

Keywords:

Agentic AI,, Cloud Computing, Enterprise Data Intelligence,, Zero Trust Security, Artificial Intelligence, Machine Learning, Predictive Analytics, Enterprise Security, Cloud Security, Hybrid Cloud, Multi-Cloud, Identity and Access Management, Autonomous Intelligence, Data Governance, Cyber Threat Intelligence

Abstract

The rapid growth of enterprise digital ecosystems has significantly increased the volume, velocity, and variety of organizational
data, making intelligent data management and cybersecurity critical business priorities. Traditional enterprise data management
systems often struggle to provide real-time analytics, autonomous decision-making, and adaptive security against increasingly
sophisticated cyber threats. This research proposes an integrated framework that combines Agentic Artificial Intelligence (AI),
cloud computing, and Zero Trust Security to strengthen enterprise data intelligence while ensuring secure, scalable, and intelligent
business operations. The proposed framework leverages autonomous AI agents for continuous data analysis, predictive decision
support, workflow automation, and intelligent resource optimization across hybrid and multi-cloud environments. Cloud
computing provides scalable infrastructure for distributed data processing, while Zero Trust Security enforces continuous identity
verification, least-privilege access, behavioral authentication, and adaptive policy enforcement to protect sensitive enterprise assets.
Machine learning and predictive analytics continuously monitor system behavior, detect anomalies, identify cyber threats, and
automate incident response. The integration of intelligent cloud services with autonomous AI agents enables organizations to
improve operational efficiency, strengthen governance, accelerate business intelligence, and enhance regulatory compliance. The
proposed framework establishes a resilient enterprise architecture capable of supporting secure digital transformation, intelligent
automation, real-time analytics, and proactive cyber defense while maximizing enterprise data value and organizational resilience
in rapidly evolving digital environments.

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Published

2025-11-30

How to Cite

Strengthening Enterprise Data Intelligence with Agentic AI Cloud Computing and Zero Trust Security Frameworks. (2025). Journal of Cyber-Physical Security and Robotics, 1(02), 116-125. https://doi.org/10.64235/q0nb9664

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