06How do you protect an LLM API from abuse and runaway cost (rate limits, quotas, abuse detection)?▼mediumOpenAIMicrosoftAnthropic2 repliesunlockedLLM endpoints are unusually exposed: every call can spend real money and consume scarce GPU capacity, so abuse is a security and a financial problem at once. What lands is layered controls on tokens and cost, not just request count. Here is the defense.Open full answer →
64Users are abusing your AI product, not just your quota. How do you build trust-and-safety enforcement?▼mediumOpenAIAnthropicMeta◆ premiumRate limits stop a user who costs you too much. They do nothing about a user doing something you forbid. The enforcement system is a different design, and interviewers can tell within a minute whether you have built one.Open full answer →