In today’s rapidly evolving software development landscape, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as significant threat vectors. Organizations worldwide are witnessing a surge in targeted attacks aimed at software developers, data scientists, and the infrastructure supporting the deployment of secure AI-enabled software supply chains. Reports of attacks on development languages, infrastructure, manipulation of AI engines to expose sensitive data, and threats to overall software integrity are increasingly prevalent. In this environment, organizations need to defend against AI software supply chain risks across three domains: Regulatory, Quality, and Security. 1. Regulatory The advent of the EU AI Act…