Enterprise governance of ai-powered developer tools: a framework for security, compliance, and responsible ai at scale
DOI:
https://doi.org/10.22399/ijcesen.4591Keywords:
AI governance, enterprise security, compliance, responsible AI, developer tools, AI-assisted codingAbstract
This study examines governance challenges in the enterprise adoption of AI-powered developer tools, with particular emphasis on security, compliance, and ethical AI practices. A mixed-methods approach combining quantitative survey data and qualitative expert interviews was employed to evaluate organizational preparedness, governance maturity, and risk perceptions. Findings indicate that organizations face significant security vulnerabilities, inadequate compliance mechanisms, and insufficient ethical AI controls in current implementations. Qualitative analysis revealed inadequate auditability mechanisms, transparency gaps, and insufficient oversight of AI-generated code. A comprehensive multi-layered governance architecture addressing security governance, regulatory compliance, responsible AI principles, and continuous operational oversight was developed and validated based on these findings. The research demonstrates that such a framework is essential for enabling safe, legally compliant, and ethically responsible large-scale adoption of AI-powered development tools in contemporary organizational contexts
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Copyright (c) 2024 International Journal of Computational and Experimental Science and Engineering
This work is licensed under a Creative Commons Attribution 4.0 International License.
