Manuscript Number : IJSRST5231096

Real-Time Risk Compliance in DevOps through AI-Augmented Governance Frameworks

Authors(1) :-Sandeep Belidhe

In a constantly growing DevOps environment, there is a need to monitor the risks needing compliance in real time to meet security and regulation needs. This paper focuses on applying AI systems in governance structures where machine learning (ML) and predictive analytics enhance risk detection and mitigation. Compliance checks lower human interaction in identifying deviations and operational risks. An example of AI in action for DevOps pipeline risk detection is shown through a simulation; a case study from the financial industry shows its relevance. This paper discusses issues like integration, security, and possibly increasing the capacity of the AI system and possible solutions like deploying compact AI systems, anonymizing data, and cloud computing. Here, AI requires secure, efficient, and self-healing DevOps systems.

Authors and Affiliations

Sandeep Belidhe
Independent Researcher, USA

Real-Time Risk Compliance, AI-Augmented Governance, DevOps, Continuous Monitoring, Predictive Analytics, Risk Management, Automation in DevOps, Compliance Automation, Machine Learning, Regulatory Adherence, Risk Detection, Security and Compliance, Cloud-Based Platforms.

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Publication Details

Published in : Volume 10 | Issue 1 | January-February 2023
Date of Publication : 2023-02-09
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 778-782
Manuscript Number : IJSRST5231096
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Sandeep Belidhe , " Real-Time Risk Compliance in DevOps through AI-Augmented Governance Frameworks", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 10, Issue 1, pp.778-782, January-February-2023.
Journal URL : https://ijsrst.com/IJSRST5231096
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