Diba, Muslima Jahan (2026) From Risk Management to Accountability: Security, Compliance, and Governance in AI-Enabled and Cloud-Driven Ecosystems. American Journal of Technology Advancement, 3 (10). ISSN 2997-9382

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Abstract

The rapid adoption of artificial intelligence (AI) and cloud computing is transforming organizational operations while introducing increasingly complex challenges in security, regulatory compliance, risk management, and accountability. Traditional risk management approaches, which primarily emphasize identifying and mitigating threats, are often insufficient for dynamic, distributed, and interconnected AI-enabled and cloud-driven environments. This review examines the transition from conventional risk management toward an integrated governance approach that connects security, compliance, and accountability across the technology lifecycle. Particular attention is given to the shared responsibility model, where fragmented ownership among cloud providers, technology vendors, and organizational stakeholders can create significant accountability gaps. The review further examines how common controls, clearly defined responsibilities, risk-based requirements, continuous monitoring, governance metrics, and operational evidence can strengthen organizational oversight. Accountability artifacts and traceability mechanisms are also considered for their ability to connect data, decisions, controls, system activities, and responsible parties across complex technology environments. Key challenges include regulatory complexity, evolving AI models, third-party dependencies, fragmented ownership, evidence management, and excessive governance burdens. The analysis indicates that effective governance depends not on isolated technical controls but on coordinated structures that integrate security, compliance, and accountability. A lifecycle-based, evidence-driven governance model can improve transparency, operational resilience, regulatory assurance, and responsible management of AI and cloud technologies. These findings highlight the importance of continuous assurance, measurable thresholds, third-party oversight, and clearly assigned accountability for managing evolving technological risks.

Item Type:	Article
Uncontrolled Keywords:	AI governance, Cloud security, Regulatory compliance, Risk management, Accountability
Subjects:	H Social Sciences
Depositing User:	admin eprints
Date Deposited:	10 Oct 2026 05:23
Last Modified:	10 Oct 2026 05:23
URI:	http://eprints.umsida.ac.id/id/eprint/17187

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