AI-Driven API Security: Expert Strategies Unveiled
summary
Uses ChatGPT, GitHub Copilot, Leonardo.ai and an APIsec scanner to scaffold an expense-management API on Express.js with Firestore. Generated code mostly runs and produces useful JSON schemas, example data and an OAS spec, but only one of seven suggested security controls appears in the output. Concrete failures include storing PII in plain text, auto-increment numeric IDs causing IDOR, and verbose error messages enabling user enumeration. Fixes require manual refactors, input validation, and dynamic scanning.
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chapters (9)
- 0:00Intro
- 1:55Prompt Engineering Basics
- 6:38Development Outcomes
- 7:17API Security Results
- 13:13Identifying API Security Issues
- 14:38AI-driven Security Solutions
- 19:00Business Model Strategies
- 20:08Benefits of Local Installations
- 20:36Overall Conclusions
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