This dataset models prompt injection cascades in tool-using AI systems. It detects when injection pressure rises, safety buffers weaken due to incomplete filtering and trust-boundary enforcement, governance lag delays triage and revocation, and tight coupling through shared routers and scaffolds propagates injection success across products, crossing the five-node cascade threshold into an unrecoverable prompt injection cascade.
This dataset models a five-node… See the full description on the dataset page:
https://huggingface.co/datasets/ClarusC64/ai-5node-inj-buf-lag-cpl-prompt-injection-v0.1.
