Explainable and Trustworthy Artificial Intelligence Architectures for Enterprise Cybersecurity and Decision Intelligence
Abstract
Artificial Intelligence (AI) has become a transformative technology in enterprise cybersecurity and decision intelligence by enabling automated threat detection, predictive analytics, intelligent decision-making, and adaptive security management. However, the increasing reliance on AI systems has raised significant concerns regarding transparency, accountability, trustworthiness, and explainability in enterprise environments. Traditional AI models often operate as black-box systems, making it difficult for organizations to understand, validate, and trust automated decisions. Explainable and trustworthy AI architectures aim to address these challenges by integrating transparency, interpretability, fairness, robustness, and ethical governance into intelligent enterprise systems. This study explores the role of explainable AI (XAI) architectures in enhancing cybersecurity operations and enterprise decision intelligence frameworks. The research examines how AI-driven systems support threat detection, anomaly analysis, access control, incident response, and strategic decision-making while maintaining accountability and regulatory compliance. Furthermore, the study investigates architectural components such as interpretable machine learning models, trust management systems, human-AI collaboration mechanisms, and governance frameworks designed to improve stakeholder confidence and operational reliability. The findings demonstrate that explainable and trustworthy AI architectures significantly improve cybersecurity resilience, organizational transparency, risk management, and strategic decision intelligence while supporting ethical and responsible AI adoption across enterprise ecosystems.
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 8 No. 4 (2025): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
14615 - 14623 |
Published |
August 13, 2025 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Ramineni Damodaram (%2025). Explainable and Trustworthy Artificial Intelligence Architectures for Enterprise Cybersecurity and Decision Intelligence. International Journal of Science, Research and Technology , Vol. 8 No. 4 (2025): International Journal of Science, Research and Technology (IJSRAT) , pp. 14615 - 14623. https://doi.org/10.15662/IJSRAT.2025.0804006 |
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