AI is rapidly reshaping software development, becoming deeply embedded in how modern applications are built, enhanced, and maintained. As large language models, machine learning systems, and generative AI tools are adopted to speed development and improve productivity, they also introduce new security implications across the software supply chain. AI-generated or AI-assisted code can obscure component origins, increase dependency complexity, and create new layers of risk that traditional security tools may overlook. With AI now influencing nearly every stage of software creation, organizations must adapt their supply chain security strategies to account for AI-driven workflows and ensure visibility, integrity, and trust across the entire development process.

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