The Future of API Management: AI and Machine Learning
summary
Five concrete tenets drive wins: API development that spans full‑stack, low‑code and cloud‑native producers with explicit support for GraphQL endpoints and AsyncAPI event contracts; automated governance that lints specs and versions products in a portal; testing augmented by ML for automated test generation from OpenAPI and synthetic production traffic expansion; end‑to‑end observability with tracing to single lines of code; and advanced security—IBM API Connect plus App Connect, Noname Security partnership and StepZen acquisition—responding to the claim that ~80% of officers see API incidents and 2/3 of cloud breaches involve APIs.
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chapters (17)
- 0:00API management future
- 1:08APIs as products
- 2:56AI and ML in API dev
- 5:50Reducing complexity with ML
- 7:39Expanding API protocols
- 8:02GraphQL and AsyncAPI growth
- 10:12API governance lifecycle
- 12:01Automated governance formats
- 14:11Automated API testing
- 15:16AI-driven testing
- 17:25Observability beyond analytics
- 18:10Root cause tracing
- 20:00API security concerns
- 22:50Advanced API security
- 24:16IBM API management
- 25:42Enhancing with acquisitions
- 26:02API use cases
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