10 ways your AI bill gets hijacked — and the control that stops each

One leaked key ran up $82,000 on a Gemini account in 48 hours. LLMjacking has hit AWS Bedrock at over $46,000/day. The cost of an AI feature going wrong is decided by one thing: how long the meter runs before anyone notices. This free one-page guide is the whole defense — OWASP calls it LLM10: Unbounded Consumption — laid out as the 10 ways it happens and the control that closes each.

The 10 hijack routes, each with its fix:

• A key leaks into a repo, app, or log — keys server-side only, scoped, secret-scanned
• An "alert" that never stops the spend — a fail-closed hard cap that halts serving
• One key or user drains the whole account — per-user daily budgets + virtual keys
• An agent loops and bills on every turn — a per-run breaker: max steps + token budget
• Rate limits count requests, not tokens — token-aware limits (OWASP's named defense)
• …and 5 more — public endpoints, model routing, caching, injection, hidden credit burn

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