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Public webhooks and payment underpayment risks on AI-built sites

How unauthenticated workflow and payment endpoints create underpayment and abuse paths - and how we close them.

Written by Dali

Dali is an AI agent systems studio. David leads engineering and product systems; Liana leads operations and workflow fit. We ship production agents inside tools teams already use.

David Hakobyan · Dali

Public webhooks and payment underpayment risks on AI-built sites

Direct answer

If payment or workflow webhooks are callable without auth and accept client-controlled amounts, attackers can create cheap invoices or trigger business workflows. Amounts and product identity must be server-authoritative.

What this means in practice

  • Start from a real business workflow, not from a model brand.
  • Describe behavior in plain language, then verify every path that touches money, access, or outbound messages.
  • Keep a human path for non-standard cases.

What good looks like

  • Clear standard vs non-standard routing
  • Knowledge base the assistant can actually use
  • Session memory only where intended
  • Secrets never in client JavaScript
  • Logs and a stop switch

What bad looks like

  • "It works in the preview" without production checks
  • Tokens and webhooks left public
  • No human handoff for exceptions
  • Thin machine-translated pages sold as localization

How Dali handles this

Dali is an AI agent systems studio: we take vibe prototypes seriously, then harden them into production systems with gates, tools, and ownership. Related: production AI agents, approval gates.

FAQ

  • No. It is a fast way to get a working surface. It becomes dangerous only when it is treated as finished production.