A Policy-Driven Trustworthy AI Framework for Secure and Governed Enterprise Operations

Figshare 2026 Open access

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Authors: Nagarjuna Kommuri
DOI: 10.6084/m9.figshare.31743088
Cited by: 0

Abstract

The rapid adoption of artificial intelligence in enterprise operations has introduced significant challenges related tosecurity, governance, transparency, and regulatory compliance. While AI-driven systems improve efficiency anddecision-making, many organizations lack robust mechanisms to ensure trustworthy behavior across the AI lifecycle.

Fields of Study & Subjects

Ethics and Social Impacts of AI Access Control and Trust Explainable Artificial Intelligence (XAI)

Publication details

Journal / source
Figshare
Publication date
1 January 2026
Language
EN