How do you defend an LLM service against resource-exhaustion and denial-of-service attacks?

An attacker doesn't need to breach your LLM to hurt you, just make it do expensive work. A handful of crafted prompts can pin your GPUs and run up the bill. The defense is not a bigger rate limit.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

An attacker doesn't need to breach your LLM to hurt you, just make it do expensive work. A handful of crafted prompts can pin your GPUs and run up the bill. The defense is not a bigger rate limit.

Unlock the other 750 answers · ₹2,000 / $25Your progress and mastery stay saved · 6 months · one payment · no auto-renew

UP NEXT ON YOUR JOURNEY

Next in this trackDesign data isolation for a multi-tenant AI SaaS so one customer's data can never leak to another.Next in this trackA user invokes their right to be forgotten. How do you delete their data across the whole ML stack?Next in this trackYour agent reads untrusted content and can send data externally. How do you stop prompt-injection data exfiltration?

DISCUSSION · 0

No comments yet — be the first to share your approach.