Securing the Intelligent Software Supply Chain: Vulnerability Detection and  Exploit Pathways in AI-Integrated Systems

Rajyavardhan Handa

Securing the Intelligent Software Supply Chain: Vulnerability Detection and Exploit Pathways in AI-Integrated Systems

Authors

Rajyavardhan Handa

Keywords:

Intelligent Software Supply Chain, Machine Learning Security, Vulnerability Detection, Adversarial Attacks, Ai System Lifecycle Protection

Abstract

The intelligent software supply chain represents a paradigm shift in cybersecurity, where traditional codedependencies converge with artificial intelligence components, including trained models, data processingpipelines, and algorithmic decision systems. This article examines the multifaceted vulnerability landscape introduced

References

Abdulrahman Abomakhelb et al., "A Comprehensive Review of Adversarial Attacks and Defense Strategies in Deep Neural Networks," ResearchGate, May 2025. [Online]. Available:https://www.researchgate.net/publication/391789804_A_Comprehensive_Review_of_Adversarial_Attacs_and_Defense_Strategies_in_Deep_Neural_Networks

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Published

2025-12-03

How to Cite

Rajyavardhan Handa. (2025). Securing the Intelligent Software Supply Chain: Vulnerability Detection and Exploit Pathways in AI-Integrated Systems . Journal of Computational Analysis and Applications (JoCAAA), 34(12), 46–56. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4301