Large Language Model-Based Security Intelligence for Autonomous Operations Across Hybrid Cloud Environments

Cynthiya Mohan; Cynthiya Mohan

doi:10.15662/IJSRAT.2026.0904008

Large Language Model-Based Security Intelligence for Autonomous Operations Across Hybrid Cloud Environments

Cynthiya Mohan

Project Manager, Amadeus Software labs, London Area, United Kingdom

Abstract

Hybrid cloud environments combine private data centers, public cloud platforms, edge resources, and distributed enterprise applications, creating complex security conditions that are difficult to manage through conventional monitoring and rule-based security systems. This paper proposes a Large Language Model (LLM)-based security intelligence framework designed to support autonomous security operations across heterogeneous hybrid cloud infrastructures. The proposed approach integrates security telemetry from cloud workloads, identity systems, networks, applications, containers, APIs, and endpoint technologies into a unified intelligence pipeline. An LLM-based reasoning layer interprets heterogeneous security events, correlates related incidents, generates contextual threat explanations, prioritizes risks, and recommends or initiates automated response actions under predefined governance policies. The methodology combines retrieval-augmented generation, machine-learning-based anomaly detection, threat-intelligence enrichment, policy validation, and autonomous response orchestration. The framework emphasizes human oversight, explainability, access control, data protection, and continuous feedback to reduce hallucination and unsafe automated actions. Its expected benefits include faster incident detection, reduced security-operation workload, improved cross-cloud visibility, contextual threat analysis, and adaptive response capabilities. The study demonstrates how LLM-driven security intelligence can transform hybrid cloud security operations from reactive alert management toward predictive, context-aware, and increasingly autonomous cyber defense.

Article Information

Journal	International Journal of Science, Research and Technology
Volume (Issue)	Vol. 9 No. 4 (2026): International Journal of Science, Research and Technology (IJSRAT)
DOI	https://doi.org/10.15662/IJSRAT.2026.0904008
Pages	1378-1389
Published	July 13, 2026
Copyright	All rights reserved
Open Access	This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite	Cynthiya Mohan (%2026). Large Language Model-Based Security Intelligence for Autonomous Operations Across Hybrid Cloud Environments. International Journal of Science, Research and Technology , Vol. 9 No. 4 (2026): International Journal of Science, Research and Technology (IJSRAT) , pp. 1378-1389. https://doi.org/10.15662/IJSRAT.2026.0904008

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