Manuscript Number : IJSRSET221654

AI-Driven Governance for DevOps Compliance

Authors(1) :-Sandeep Belidhe

This particular form of research, specialism DevOps compliance governance, aims to explore how AI is used to complement it. It also shows how AI can fully automate compliance checks, intelligent risk assessments, round-the-clock security monitoring, policies, and policy compliance and automatically prepare the necessary documentation. In AI, human error is eliminated, compliance workflows are accelerated, and constant compliance can be sustained in diverse DevOps settings. The study shows that, with AI implementation, the compliance teams can achieve both dogma and security while allowing the development teams to preserve speed. Finally, AI harnessing in DevOps makes the ways of the respective governance smoother, more accurate, and more reliable for organizations understanding and managing challenging regulatory processes.

Authors and Affiliations

Sandeep Belidhe
Independent Researcher, USA

AI-driven governance, DevOps, Compliance automation, Risk assessment, Real-time monitoring, Policy enforcement

  1. Hsu, T. H. C. (2018). Hands-On Security in DevOps: Ensure Continuous Deployment and Delivery with DevSecOps. Packt Publishing Ltd. https://f.letmeprint.ru/261547985-483aec26/fragment_8710796.pdf
  2. Sukender Reddy Mallreddy(2020).Cloud Data Security: Identifying Challenges and Implementing Solutions.JournalforEducators,TeachersandTrainers,Vol.11(1).96 -102.
  3. Vasa, Y. (2021). Robustness and adversarial attacks on generative models. International Journal for Research Publication and Seminar, 12(3), 462–471. https://doi.org/10.36676/jrps.v12.i3.1537
  4. Jangampeta, S., Mallreddy, S. R., & Padamati, J. R. (2021). Data Security: Safeguarding the Digital Lifeline in an Era of Growing Threats. International Journal for Innovative Engineering and Management Research, 10(4), 630-632.
  5. Vasa, Y. (2021). Quantum Information Technologies in cybersecurity: Developing unbreakable encryption for continuous integration environments. International Journal for Research Publication and Seminar, 12(2), 482–490. https://doi.org/10.36676/jrps.v12.i2.1539
  6. Jangampeta, S., Mallreddy, S.R., & Padamati, J.R. (2021). Anomaly Detection for Data Security in SIEM: Identifying Malicious Activity in Security Logs and User Sessions. 10(12), 295-298.
  7. Vasa, Y. (2021). Develop Explainable AI (XAI) Solutions For Data Engineers. NVEO - Natural Volatiles & Essential Oils, 8(3), 425–432. https://doi.org/https://doi.org/10.53555/nveo.v8i3.5769
  8. Nunnagupala, L. S. C. ., Mallreddy, S. R., & Padamati, J. R. . (2022). Achieving PCI Compliance with CRM Systems. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 13(1), 529–535.
  9. Singirikonda, P., Jaini, S., & Vasa, Y. (2021). Develop Solutions To Detect And Mitigate Data Quality Issues In ML Models. NVEO - Natural Volatiles & Essential Oils, 8(4), 16968–16973. https://doi.org/https://doi.org/10.53555/nveo.v8i4.5771
  10. Vasa, Y., Jaini, S., & Singirikonda, P. (2021). Design Scalable Data Pipelines For Ai Applications. NVEO - Natural Volatiles & Essential Oils, 8(1), 215–221. https://doi.org/https://doi.org/10.53555/nveo.v8i1.5772
  11. Mallreddy, S. R., & Vasa, Y. (2022). Autonomous Systems In Software Engineering: Reducing Human Error In Continuous Deployment Through Robotics And AI. NVEO - Natural Volatiles & Essential Oils, 9(1), 13653–13660. https://doi.org/https://doi.org/10.53555/nveo.v11i01.5765
  12. Vasa, Y., & Mallreddy, S. R. (2022). Biotechnological Approaches To Software Health: Applying Bioinformatics And Machine Learning To Predict And Mitigate System Failures. Natural Volatiles & Essential Oils, 9(1), 13645–13652. https://doi.org/https://doi.org/10.53555/nveo.v9i2.5764
  13. Vasa, Y., Cheemakurthi, S. K. M., & Kilaru, N. B. (2022). Deep Learning Models For Fraud Detection In Modernized Banking Systems Cloud Computing Paradigm. International Journal of Advances in Engineering and Management, 4(6), 2774–2783. https://doi.org/10.35629/5252-040627742783
  14. Katikireddi, P. M., Singirikonda, P., & Vasa, Y. (2021). Revolutionizing DEVOPS with Quantum Computing: Accelerating CI/CD pipelines through Advanced Computational Techniques. Innovative Research Thoughts, 7(2), 97–103. https://doi.org/10.36676/irt.v7.i2.1482
  15. Vasa, Y., & Singirikonda, P. (2022). Proactive Cyber Threat Hunting With AI: Predictive And Preventive Strategies. International Journal of Computer Science and Mechatronics, 8(3), 30–36.

Publication Details

Published in : Volume 9 | Issue 4 | July-August 2022
Date of Publication : 2022-07-14
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 527-532
Manuscript Number : IJSRSET221654
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Sandeep Belidhe , " AI-Driven Governance for DevOps Compliance, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 4, pp.527-532, July-August-2022. Available at doi : https://doi.org/10.32628/IJSRSET221654      Journal URL : https://res.ijsrset.com/IJSRSET221654

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