Software supply chain security guide: Why organizations struggle

This post details how AI is changing the software supply chain security landscape by introducing new attack vectors and amplifying existing ones. It highlights AI-powered attacks that are more sophisticated and scalable, and the new risks introduced by the AI development supply chain, including model supply chain attacks, insecure AI-generated code, compromised AI toolchains, automated reconnaissance, and shadow AI. The post also discusses why organizations struggle with supply chain security due to misconceptions, skills shortages, misaligned incentives, and tool complexity, and outlines the true price of supply chain insecurity in terms of time, reputation, regulatory compliance, and operational disruption. It critiques current approaches that focus on massive scanning over effective protection and highlight collaboration breakdowns, proposing a path forward through integrated DevSecOps platforms and developer-native solutions.