DevSecOps Sentinel: GenAI-Driven Agentic Workflows for Comprehensive Supply Chain Security

A growing number of security challenges are born out of the complexity of modern software supply chains that span microservices, containerization, and cloud-native architectures. The increasing rate of new cyber-threats, and the need to quickly deploy software updates after a security incident, typically outpaces traditional DevSecOps security practices. In this paper, we propose a novel DevSecOps Sentinel system, which employs Generative AI (GenAI) driven agentic workflows to improve software supply chain security holistically. In this paper, we elaborate on the architecture of DevSecOps Sentinel: by integrating cutting-edge GenAI models, and by deploying intelligent agentic workflows. Then we dive into how the system impacts our software development life cycle from code writing to production and beyond. Our results indicate that agentic workflows powered by GenAI are a viable method to tackle the intricate security issues of modern software supply chains. Integrating the analysis capability of AI and marrying this with the strengths that come from agentic systems, DevSecOps Sentinel reveals a way forward for organizations seeking to strengthen their security profile in an ever more hostile digital world - to build better software — faster, safer, and reliable.

Authors

Publication Details

Journal
Computer and Information Science
Published
2024-12-20
DOI
https://doi.org/10.5539/cis.v18n1p39
Citations
1
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.53
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article

DevSecOps Sentinel: GenAI-Driven Agentic Workflows for Comprehensive Supply Chain Security

S. Baxter, Gyani Pillala, Damoon Azarpazhooh
1 citations
Computer and Information Science
Business Process Modeling and Analysis
0.53
article

DevSecOps Sentinel: GenAI-Driven Agentic Workflows for Comprehensive Supply Chain Security

S. Baxter, Gyani Pillala, Damoon Azarpazhooh
article en
1 citations

Abstract

A growing number of security challenges are born out of the complexity of modern software supply chains that span microservices, containerization, and cloud-native architectures. The increasing rate of new cyber-threats, and the need to quickly deploy software updates after a security incident, typically outpaces traditional DevSecOps security practices. In this paper, we propose a novel DevSecOps Sentinel system, which employs Generative AI (GenAI) driven agentic workflows to improve software supply chain security holistically. In this paper, we elaborate on the architecture of DevSecOps Sentinel: by integrating cutting-edge GenAI models, and by deploying intelligent agentic workflows. Then we dive into how the system impacts our software development life cycle from code writing to production and beyond. Our results indicate that agentic workflows powered by GenAI are a viable method to tackle the intricate security issues of modern software supply chains. Integrating the analysis capability of AI and marrying this with the strengths that come from agentic systems, DevSecOps Sentinel reveals a way forward for organizations seeking to strengthen their security profile in an ever more hostile digital world - to build better software — faster, safer, and reliable.

Computer and Information ScienceVol. 18(1)
Openalex Percentile: Top 23%
Business Process Modeling and Analysis
0.53
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