A Secure AI-Enabled Cloud Framework for PLSQL and Shell Script Automation in Enterprise and Healthcare Business Processes
DOI:
https://doi.org/10.15662/IJEETR.2024.0605009Keywords:
AI-enabled automation, Cloud computing, PL/SQL optimization, Shell script orchestration, Healthcare business processes, Secure workflow management, Enterprise systemsAbstract
The increasing reliance on complex database procedures and system-level scripts in enterprise and healthcare environments has intensified the need for intelligent, secure, and scalable automation solutions. Traditional rule-based execution and static tuning approaches for PL/SQL procedures and shell scripts often fail to adapt to dynamic workloads, regulatory constraints, and evolving business requirements. This paper proposes a secure AI-enabled cloud framework for the intelligent automation, optimization, and governance of PL/SQL and shell script workflows in enterprise and healthcare business processes. The framework integrates machine learning and transformer-based models to analyze execution patterns, predict performance bottlenecks, and generate adaptive tuning and scheduling recommendations in real time. Security and compliance are embedded through role-based access control, encrypted execution pipelines, audit logging, and policy-aware orchestration tailored to healthcare regulations. Experimental evaluation using enterprise workload benchmarks demonstrates significant improvements in execution latency, resource utilization, and tuning accuracy compared to traditional rule-based and LSTM-based approaches. The results indicate that the proposed framework enhances operational efficiency while ensuring secure, compliant, and resilient workflow automation across cloud-based enterprise and healthcare systems.References
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