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Journal of Artificial Intelligence and Big Data Disciplines

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Autonomous Compliance by Design: Agentic AI for Global Data Center Risk Governance

Published in Volume 2, Issue 2 (April-June 2025 ) (Vol. 2, Issue 2, 2025)

Autonomous Compliance by Design: Agentic AI for Global Data Center Risk Governance - Issue cover

Abstract

How can compliance ecosystems be designed as self-healing systems, resilient to breaches and capable of automatically preventing recurrences? Recent advances in agentic AI suggest technological solutions, even within current regulations. A case study in global risk governance for data centers demonstrates the research design, compliance ecosystem architecture, and three-dimensional self-healing anatomy: support, government, and control. Self-healing compliance ecosystems allow dynamic consumption of data in indicated modes and are self-healing in the enabling way of autonomic loops, embracing monitoring, remediation, and feedback. The design-supporting analysis suggests action-oriented responses to incidents, disaster recovery, and business continuity, while substantial performance improvements and lessons learned contribute to compliance resilience. Agentic AI allows an adaptive compliance ecosystem acting on behalf of a stakeholder body, enabling a self-healing compliance ecosystem.

References

  1. [1][1]Raza, S., Sapkota, R., Karkee, M., & Emmanouilidis, C. (2025). Trust, risk, and security management in LLM-based agentic multi-agent systems. Journal of Systems Architecture, 154, 102981.
  2. [2][2]Huang, K., Huang, J., Mehmood, Y., Atta, H., Baig, M. Z., & Haq, M. A. U. (2025). AAGATE: A NIST AI RMF-aligned governance platform for agentic AI. arXiv preprint arXiv:2510.25863.
  3. [3][3]Adabara, I. O., et al. (2025). A review of agentic AI in cybersecurity: Cognitive autonomy and compliance integration. Cybersecurity, 8(1), 45–63.
  4. [4][4]Beulen, E. Artificial intelligence governance mechanisms: The emergence of agentic AI governance. Information, 17(4), 336.
  5. [5][5]Raza, S., et al. TRiSM for agentic AI: A review of trust, risk, and security management. Array, 20, 100271.
  6. [6][6]World Economic Forum. (2025). AI agents in action: Foundations for evaluation and governance. World Economic Forum.
  7. [7][7]Goswami, A., Reddy, B., Krishna, S., Sen, A., & Reddy, S. State of AI governance 2025. Takshashila Institution.
  8. [8][8]Atalan, Y., Reynolds, I., & Jensen, B. Agentic AI and governance gaps: A capability-based taxonomy. Center for Strategic and International Studies.
  9. [9][9]National Institute of Standards and Technology. (2023). Artificial intelligence risk management framework (AI RMF 1.0). NIST.
  10. [10][10]McGregor, S., & Hostetler, J. (2023). Data-centric governance for AI systems. arXiv preprint arXiv:2302.07872.
  11. [11][11]Ponick, E., & Wieczorek, G. (2023). Artificial intelligence in governance, risk, and compliance: Applications and potentials. arXiv preprint arXiv:2212.03601.
  12. [12][12]Zeng, Y., et al. (2024). Governance of artificial intelligence: Principles and emerging practices. Nature Machine Intelligence, 6(2), 123–130.
  13. [13][13]Xiang, A. (2024). Fairness, accountability, and transparency in AI governance. Daedalus, 153(1), 45–60.
  14. [14][14]United Nations AI Advisory Body. (2024). Global recommendations for AI governance frameworks. UN Policy Report.
  15. [15][15]Anthropic. Responsible scaling policy (Version 3.0): Governance of frontier AI systems. AI Safety Technical Report.
  16. [16][16]Linux Foundation AI & Data. (2024). Trustmark initiative for trustworthy AI compliance and governance. Industry White Paper.
  17. [17][17]Government of India. (2025). India AI governance guidelines. Ministry of Electronics and Information Technology.
  18. [18][18]Apollo Research. (2024). Evaluating agentic behaviors in large language models. AI Safety Research Report.
  19. [19][19]TechRadar Pro Research. (2025). Agentic AI for enterprise risk and compliance automation. Industry Analysis Report.
  20. [20][20]Open Voice Network. (2024). Compliance and risk mitigation in conversational AI systems. AI Governance Report.

Authors (1)

Dasari Vinay

JNTU

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Article Information

jaibdd230073

jaibdd-01-000072

2026-05-18

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How to Cite

Vinay (2026). Autonomous Compliance by Design: Agentic AI for Global Data Center Risk Governance. Journal of Artificial Intelligence and Big Data Disciplines, 2(2), xx-xx. https://jaibdd.com/articles/jaibdd230073

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