An AI Framework for Monitoring Rule Changes in Highly Volatile Compliance Environments

Authors

  • Rohit Yallavula Independent Researcher, University of Texas, Dallas, TX, UNITED STATES
  • Venkat Kishore Yarram Senior Software Engineer, PayPal, Austin, TX, UNITED STATES

Keywords:

Regulatory Drift, Compliance Automation, AI-Driven Monitoring, Rule Change Detection, Natural Language Processing (NLP), Transformer Models, Semantic Similarity, Legal Text Mining

Abstract

The swift embrace of cloud computing has revolutionised organisational management of IT resources, requiring strong governance frameworks to tackle the complexities and hazards associated with cloud systems. This paper presents a complete governance framework model that amalgamates the functions of artificial intelligence (AI), security, compliance, and management to improve the efficacy of cloud operations. Artificial intelligence is essential for enhancing resource allocation and refining decision-making processes in cloud governance. Organisations can attain dynamic resource management, predictive analytics, and automated compliance monitoring through the utilisation of machine learning algorithms, hence improving operational efficiency and minimising human error. The incorporation of AI in security management enables real-time threat detection and response, empowering organisations to proactively mitigate risks related to data breaches and cyberattacks. Security is a critical issue in cloud governance due to the shared responsibility paradigm between cloud providers and consumers. This framework prioritises the execution of extensive security procedures, encompassing data encryption, identity management, and incident response methods, to protect sensitive information and uphold consumer trust. Adherence to regulatory mandates is crucial for maintaining organisational responsibility and mitigating legal risks. The proposed governance model includes automated compliance checks and reporting systems to ensure conformity to industry-specific rules, including GDPR and HIPAA. Furthermore, proficient management of cloud resources is essential for enhancing performance and regulating expenses. The governance framework delineates optimal methods for lifecycle management, cost efficiency, and resource distribution, facilitating organisations in attaining their strategic goals. This governance framework model emphasises the necessity of integrating AI, security, compliance, and management for a comprehensive approach to cloud governance, equipping organisations with the essential tools to address the challenges of cloud computing while optimising its advantages.

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Published

2021-09-19