Revolutionizing DevOps Security: AI and ML-Enabled Automated Testing Approaches
Journal Title: International Journal of Current Science Research and Review - Year 2024, Vol 7, Issue 11
Abstract
In modern DevOps environments, the integration of security practices poses significant challenges due to the fast-paced nature of Continuous Integration/Continuous Deployment (CI/CD) pipelines. Traditional security testing methods are usually too slow and reactive to address vulnerabilities effectively in such dynamic settings. To overcome these challenges, organizations are increasingly adopting automated security testing solutions that leverage Artificial Intelligence (AI) and Machine Learning (ML). This paper discusses AI and ML capabilities in automating security testing during DevOps. It talks about how these technologies can improve security by enabling real-time threat detection, reducing false positives, and adapting to new vulnerabilities through continuous learning. Key AI/ML-based tools and techniques, along with their integration into DevOps workflows, are also discussed in detail. It also covers the integration challenges and the potential of AI/ ML in security testing in the coming years.
Authors and Affiliations
Rishitha Kokku
Keywords
Related Articles
- EP ID EP750027
- DOI 10.47191/ijcsrr/V7-i11-01
- Views 8
- Downloads 0
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