Industries
A payment agent, a clinical assistant, and a support bot fail in very different ways – but each risk maps to specific guardrails. Here’s where the danger lives by sector, and which checks answer it.
Payment agents and invoice automation act on money. The failure modes are fraud-shaped, and they hide in a single tool argument.
Clinical assistants handle PHI and quote figures that have to be exactly right. A hallucinated dosage or a leaked identifier is a reportable event.
Support and refund agents read untrusted content – tickets, order notes, emails – and hold tools that move money and send mail.
Document assistants and RAG pipelines produce answers that get relied upon. Fabricated citations and contradictions are liabilities; data residency is non-negotiable.
Teams shipping agents on n8n, LangGraph, or MCP want safety without rebuilding their orchestrator. The proxy meets the workflow where it already is.
Reports get published, then updated as new data lands – and every version needs its claims re-checked. A stale figure, a citation that no longer holds, or a market-share number that private data would contradict is how errors slip into the record.
Run your traffic through in observe mode and read the reconstructed run graph. The gaps show themselves.