awsm-research/Awesome-AI4DevSecOps

This repository offers a detailed taxonomy of existing AI-driven security solutions tailored for DevSecOps, highlighting the current research challenges and suggesting future directions for the field. It serves as a resource for researchers, developers, and security professionals interested in the intersection of AI and DevSecOps.

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Emerging

This resource provides a comprehensive overview of how Artificial Intelligence can automate security tasks within the DevSecOps pipeline. It takes in various research papers and tools related to AI-driven security, categorizes them by DevSecOps tasks, and highlights current challenges and future directions. This is ideal for security architects, DevSecOps engineers, or lead developers who want to integrate AI to enhance their security workflows and reduce manual effort.

No commits in the last 6 months.

Use this if you are a security professional or developer looking to understand or implement AI-driven security solutions to automate DevSecOps tasks like vulnerability detection.

Not ideal if you are a beginner looking for basic DevSecOps definitions or seeking general software development tools not specifically related to AI in security.

DevSecOps Application Security Vulnerability Management Security Automation Software Development Lifecycle
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 15 / 25

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19

Forks

4

Language

License

MIT

Category

ai-red-teaming

Last pushed

Jul 02, 2025

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