Framework for Cloud Data Security Using Agentic AI
Year: 2025
Type: article
Abstract: Cloud platforms are ever more vulnerable to advanced cyber threats, which demand intelligent and self-reliant security systems. We introduce CloudShield, a prototype Agentic AI system for mimicking live cloud data protection in Azure platforms. The system mimics round-the-clock log collection in Azure-type protocols, employs the Isolation Forest algorithm to identify outliers, and responds automatically to attacks such as brute-force attacks and malware. Logs are locally stored in a SQLite database, encrypted for secure storage, and can be deployed entirely self-contained without dependencies. CloudShield includes an interactive real-time dashboard for threat visualization and system analysis. Its agent-based, modular architecture supports scalability, automation, and high detection rates—making it a strong experimental model for current cloud security research.
Authors: Naseer, R, Srujan, K M, A S, Deepthi, Divyashree, C H, M, Goutham
Institution: Bapuji Institute of Engineering and Technology
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7082143299
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