Pratim Bhosale
Lessons learned from observing a billion API requests
#1about 3 minutes
Key findings from analyzing a billion API requests
Analysis of over a billion API requests reveals that JavaScript APIs are often less secure and half of all APIs lack any authentication.
#2about 3 minutes
Why opinionated frameworks lead to more secure APIs
Opinionated frameworks like Laravel and AdonisJS produce more secure APIs by providing built-in structure, ORMs, and authentication, unlike less structured JavaScript frameworks.
#3about 5 minutes
Understanding the four pillars of a high API score
A strong API score is based on four key pillars: consistent design, high performance, built-in security, and readiness for AI consumption.
#4about 4 minutes
Improving an API score with practical examples
A live demonstration shows how to improve an API's score by adding robust response codes and complete contact details to an OpenAPI specification.
#5about 4 minutes
Designing APIs for AI consumption and built-in security
Build better APIs for AI by using descriptive operation IDs and treat security as a core feature by masking PII and implementing rate limits internally.
#6about 3 minutes
Implement full traceability and use-case driven design
Improve API robustness by implementing full traceability to debug AI agent interactions and designing endpoints around user use cases rather than database schemas.
#7about 3 minutes
Recognizing your API is training data for AI models
Shift your mindset to understand that your API is now a primary data source for training AI models, making composable design and rich documentation essential.
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Key takeaways and further API design topics
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Why learning about new APIs benefits developers
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Q&A: Who designs web APIs and why use them over libraries
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Addressing security, performance, and scalability in JAMstack
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Understanding the security risks of AI integrations
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The urgent need for API security from day one
Architecting API Security
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Focusing on secure architecture over just code
Architecting API Security
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