Automating Compliance Monitoring in ITSM Platforms Using Machine Learning
DOI:
https://doi.org/10.63345/sjaibt.v2.i4.303Keywords:
Machine Learning, IT Service Management, Compliance Monitoring, Automation, Predictive Analytics, Anomaly Detection, Service Level Agreements, Regulatory Compliance, IT Operations, Enterprise ITSMAbstract
This manuscript explores the integration of Machine Learning (ML) into IT Service Management (ITSM) platforms to automate compliance monitoring. As organizations face increasing regulatory demands and complex IT environments, traditional manual compliance processes become inadequate. ML offers a transformative approach by enabling proactive, real-time compliance oversight. The paper discusses the application of ML in automating compliance tasks, enhancing accuracy, and reducing operational overhead. Furthermore, it presents a case study demonstrating the effectiveness of ML-driven compliance automation in an enterprise ITSM context.
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