The AI era has brought a new set of challenges for container image security, with unsigned images posing a significant risk to organizations. The problem is exacerbated by the rapid evolution of workloads, where model weights, training datasets, and inference runtimes are now shipped as OCI artifacts. This makes it difficult to detect vulnerabilities and ensures that tampered images can go unnoticed until it's too late. The issue is further complicated by the fact that scanning is a reactive process, unable to answer the critical question of who built the image and whether it has been modified since it left the build system. This is where cryptographic signing comes in, providing proactive provenance and shrinking the attack surface. By signing images, organizations can ensure that tampering anywhere in the path is detected and that the attack surface is reduced. The registry is the ideal layer for image signing, as it already holds identity context, enforces access policy, and stores metadata that describes what an image contains. Amazon ECR Managed Signing is a solution that simplifies the signing process, making it a property of pushing an image rather than a project each team takes on. It absorbs the operational cost, making signing a seamless part of the image creation process. The solution involves a three-step process: sign, verify, and enforce. By signing images, organizations can ensure that tampering is detected and that the attack surface is reduced, making it a crucial step in securing container images in the AI era.
