This JFrog blog post discusses continuous detection as a critical security strategy for AI supply chains, arguing that traditional periodic security approaches fail when coding agents operate autonomously at scale. JFrog classifies AI assets into four categories – Managed, Partially Managed, Unmanaged (Shadow AI), and Malicious – enabling organizations to identify and remediate unapproved components across binaries, containers, source code, build manifests, and agent configurations. The emphasis is that detection must be a continuous feed, not a snapshot, to maintain governance over modern AI-driven development pipelines.