What question did this study set out to answer?

The central aim is to explore automation methods for integrating security into DevOps pipelines within the DevSecOps framework.

Protection of DevOps Pipelines: Automation of Security within DevSecOps

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This research analyzes automation methods for security in DevOps pipelines, suggesting implications for security integration.

The central aim is to explore automation methods for integrating security into DevOps pipelines within the DevSecOps framework.
Conducted a comparative analytical review of modern DevSecOps tools and methodologies.
Analyzed literature and industrial practices regarding CI/CD process integration.
Assessed the use of AI and machine learning for automating security tasks.
Identified barriers to adopting DevSecOps in software development.
Automation was found to minimize human error and accelerate vulnerability detection.
Key principles for security integration include early vulnerability detection and 'Security as Code'.
Identified limitations include integration complexity and a shortage of skilled DevSecOps professionals.
Future trends suggest advancements in AI-driven security automation solutions.

Bezzateev et al. (2025) studied this question.

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