AI supply chain and infrastructure integrity risk

Both terms concern how compromised or poorly governed AI components can spread harm beyond a single system: malicious model files can inject hidden malicious behavior at load time, while systemic risk contagion describes how a failure or compromise in shared AI infrastructure (like a gateway) can cascade across many tenants and organizations. Together they highlight integrity and dependency risks in the broader AI supply chain.