AI APIs: Taming the Wild West with AI Gateways
summary
Claims a 10‑principle IGT toolkit plus a traffic shared responsibility model let platform teams stop direct calls to model APIs and prevent four concrete failures: leaked OpenAI keys (2023), an order‑of‑magnitude surprise invoice from a third‑party AI service, toxic output causing harm, and duplicated platform work. Implementation uses AI gateways such as Portkey and Light LLM or cloud features like Amazon Bedrock and Azure AI content safety to enforce virtual keys, central logging, cost dashboards and guardrails that block PII and prompt injection.
AI-written summary · about
chapters (7)
- 0:00AI APIs and AI Gateways
- 2:52Risks of AI model APIs
- 13:09Mitigating AI API risks
- 20:15Getting started with governance
- 21:18AI gateway and why use it
- 24:09Applying models with AI gateways
- 29:03Summary
related talks
31mAI APIs: Taming the Wild West with AI Gateways
26mAI in My API Gateway ... But Why?
25mAI for Platform Engineering
31mWhen LLMs Hit Production: Why You Need an AI Gateway
25mThe AI Triple Security Gap: Why Your Gateway Strategy is Already Obsolete.
47mEmbedding AI: Don’t Burn Your Fingers in the Heat of the AI revolution
23mAI and APIs in 2026
14mBest Practices for Accelerating Your AI Journey
