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Cited by 6Software Engineering Techniques and PracticesSoftware Engineering ResearchWeb Application Security Vulnerabilities

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

The Convergence of AI/ML and DevSecOps: Revolutionizing Software Development

Open access
Pakalapati, Naveen, Venkatasubbu, Selvakumar, Sistla, Sai Mani Krishna·2023·Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)
DOI 10.60087/jklst.vol2.n2.p212
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Abstract

The convergence of Artificial Intelligence (AI) and Machine Learning (ML) with DevSecOps represents a groundbreaking paradigm shift in software development practices. This paper explores the transformative impact of integrating AI/ML technologies into the DevSecOps framework, revolutionizing the way software is designed, developed, and secured. Through a comprehensive analysis of current trends, challenges, and opportunities, the paper elucidates the key strategies and best practices for leveraging AI/ML in DevSecOps. Topics addressed include automated threat detection, predictive analytics for vulnerability management, intelligent automation, and the ethical considerations surrounding AI/ML deployment in security-sensitive environments. By embracing this convergence, organizations can enhance their security posture, accelerate software delivery, and foster a culture of continuous improvement. Case studies and real-world examples are presented to illustrate the practical applications and benefits of AI/ML in transforming DevSecOps practices.

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Crossref · 10.60087/jklst.vol2.n2.p212

Cites

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Citations

Cites

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Research works printed but not linked: 5

  1. Naveen Pakalapati, Bhargav Kumar Konidena, Ikram Ahamed Mohamed, Unlocking the Power of AI/ML in DevSecOps: Strategies and Best Practices , Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online): Vol. 2 No. 2 (2023): Innovative Pedagogical Approaches and Technological Integration in Modern Education
  2. Monish Katari, Selvakumar Venkatasubbu, Gowrisankar Krishnamoorthy, Integration of Artificial Intelligence for Real-Time Fault Detection in Semiconductor Packaging , Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online): Vol. 2 No. 3 (2023): Pioneering Approaches in Health And Wellness: Exploring Biomedical Advances and Lifestyle Interventions
  3. Sai Mani Krishna Sistla, Bhargav Kumar Konidena, IoT-Edge Healthcare Solutions Empowered by Machine Learning , Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online): Vol. 2 No. 2 (2023): Innovative Pedagogical Approaches and Technological Integration in Modern Education
  4. Gowrisankar Krishnamoorthy, Sai Mani Krishna Sistla, Leveraging Deep Learning for Climate Change Prediction Models : A Dive into Cutting-Edge Techniques , Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online): Vol. 2 No. 2 (2023): Innovative Pedagogical Approaches and Technological Integration in Modern Education
  5. Naveen Pakalapati, Jawaharbabu Jeyaraman, Sai Mani Krishna Sistla, Building Resilient Systems: Leveraging AI/ML within DevSecOps Frameworks , Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online): Vol. 2 No. 2 (2023): Innovative Pedagogical Approaches and Technological Integration in Modern Education

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Metadata

Authors
Pakalapati, N., Venkatasubbu, S., & Sistla, S. M. K.
Venue
Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)
Publisher
Open Knowledge
Published
2023-08-12
Volume
2
Issue
2
Pages
189-212
ISSN
2959-6386 (ISSN-L)
DOI
10.60087/jklst.vol2.n2.p212
OpenAlex
W4392124076
Cited by
6
References
12
Citations by year
2025: 5 · 2024: 1
FWCI
1.41
Type
journal article
Language
en
Open access
Licence
Locations
Journal of Knowledge Learning and Science Technology (publishedVersion, cc-by)
Topics
  • Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
  • Physical Sciences › Computer Science › Information Systems › Software Engineering Research
  • Physical Sciences › Computer Science › Information Systems › Web Application Security Vulnerabilities
Keywords
DevSecOps, machine learning for security, automated threat detection, vulnerability management, predictive analytics, intelligent automation

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