AI APIs: Taming the Wild West with AI Gateways
summary
Leverages an API/AI gateway pattern that centralizes provider secrets, issues virtual API keys to applications, and enforces budget and token controls to prevent cost shocks (example: unexpected $100,000/month bill reported in Q1 2024). Recommends semantic caching and token-based limits plus centralized dashboards for visibility, and input/output guardrails (providers like Aporeia, Lacera, Bedrock, Azure Content Safety) to block prompt injection and PII leaks (example: exposed OpenAI keys on GitHub in 2023, harmful output incidents in 2023).
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chapters (11)
- 0:00AI APIs and AI Gateways
- 2:56API governance and generative AI
- 7:59AI gateway patterns and features
- 9:47Risks of AI model APIs
- 13:19Security risks in AI APIs
- 16:37AI gateway for credentials and security
- 20:12Financial risks of AI model costs
- 24:05Cost optimization with AI gateways
- 26:36Privacy and compliance risks
- 28:22Guardrails for input/output
- 30:05Summary
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