APIs with ChatGPT 4-Turbo and Attack Path Visualization
summary
Demo combines ChatGPT 4‑Turbo playground features—function calling, retrieval and external API hooks—with enterprise tooling (Data Theorem, Telescope) to build an API-hacking assistant that locates sensitive data and maps risk. The system runs against serverless endpoints on AWS Lambda, invokes external APIs with provided keys, and found 42 instances of PII including credit cards and SSNs. Outputs stream JSON-guaranteed function calls, costs drop ~2–3x versus prior models, and an attack path visualization shows which apps, APIs and data sources connect end-to-end.
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chapters (15)
- 0:00Introduction to APIs with ChatGPT 4-Turbo
- 1:28Generative AI changes API experimentation
- 3:40Building API hacking assistants
- 5:24API integration in ChatGPT demo
- 7:14Retrieval and external data in AI
- 8:59Cost reductions and AI hardware
- 9:20APIs as AI fuel stations
- 10:24Business value of proprietary APIs
- 11:50AGI timeline debate
- 12:33API security and data discovery
- 14:42Enterprise AI adoption risks
- 15:45Traditional API security limits
- 16:28Attack paths in serverless APIs
- 17:33Leading API security vendors
- 18:14Closing remarks
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