AI Authentication and Authorization
Implement authentication and authorization patterns for AI systems including API key management, OAuth 2.0, multi-tenant isolation, and audit logging.
Lab Overview
🛠Lab from the AI Platform Engineering Bootcamp. Used in Week 8. Bootcamp landing page: https://academy.tekanaid.com/bootcamps/ai-platform-engineering-bootcamp Parent course(s):
- Week 8: Enterprise AI and Capstone Project (slug: enterprise-capstone-108)
🟡 Beta bootcamp lab. Hands-on instructions, check scripts, and solve scripts are in place. Lab is part of the running Platform Assistant capstone arc that grows across all 8 weeks of the bootcamp.
This hands-on lab teaches you to secure AI services with production-grade authentication and authorization patterns.
You'll learn to:
- Generate, rotate, and validate API keys for AI endpoints
- Implement OAuth 2.0 for AI service authentication
- Build multi-tenant isolation for shared AI infrastructure
- Create comprehensive audit trails for AI API usage
These patterns are essential for enterprise AI deployments where security, compliance, and usage tracking are critical requirements.
What You'll Learn
Implement secure API key management with hashing and rate limiting
Build OAuth 2.0 authentication with JWT tokens for AI services
Design multi-tenant isolation for shared AI infrastructure
Create comprehensive audit logging for compliance and debugging
Prerequisites
llm-api-integration
kubernetes-fundamentals
Technologies Covered
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