API Security Basics
Security is not optional when building AI applications. These are the essential security practices for anyone using AI APIs.
8 min•By Priygop Team•Updated 2026
Essential API Security Practices
- Store API keys in environment variables, never in code files or version control
- Add a .gitignore entry for .env files that contain secrets
- Set API spending limits in your API provider's dashboard to prevent unexpected large bills
- Rotate (replace) API keys regularly, and immediately if you suspect a key was exposed
- Use separate API keys for development and production environments
- Call AI APIs from your server, not directly from browser-side JavaScript
- Validate and sanitize user input before including it in API requests
- Log errors without logging the user's sensitive input data
Diagram
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Deep Learning ⊂ Machine Learning ⊂ Artificial Intelligence
Keeping API Costs Under Control
- Set a spending limit in your API provider's dashboard
- Use cheaper models (gpt-4o-mini instead of gpt-4o) unless quality requires the upgrade
- Set a max_tokens limit on all API calls to prevent runaway long responses
- Cache frequently requested responses to avoid redundant API calls
- Log token usage per request to understand your costs and optimize prompts
Key Takeaways
- Security is not optional when building AI applications.
- Store API keys in environment variables, never in code files or version control
- Add a .gitignore entry for .env files that contain secrets
- Set API spending limits in your API provider's dashboard to prevent unexpected large bills