Your AI Has a Supply Chain and It Can Be Compromised

AI supply chain security covers two attack layers: your code dependencies and your model files. Learn how attackers exploit both and why hash verification is the fix.

Your AI system didn’t start from scratch. It runs on frameworks like TensorFlow or PyTorch. It uses pre-trained models from the internet. It processes datasets collected from multiple sources. Each piece came from somewhere, and each can be compromised. AI supply chain security is the practice of making sure everything your model depends on is trustworthy. Most teams skip it. That’s a problem.