model supply chain

The model supply chain refers to the lifecycle of AI models, from development to deployment, and the security risks introduced at each stage. Discussions on WindowsForum highlight threats like model poisoning, where malicious actors subtly alter AI behavior, and supply chain attacks that compromise model integrity before deployment. These risks are especially relevant for enterprise IT and security professionals using Microsoft AI tools. Topics include detecting tampered models, securing training data, and implementing verification checks. Understanding the model supply chain helps organizations protect against hidden vulnerabilities in AI systems.