Designing Traceable AI Media Jobs from Prompt to Delivery
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Read articleProtect your AI integration with these essential security practices — from API key management to rate limiting and input validation.
AI APIs handle sensitive data — user prompts, business logic, and sometimes personal information. A leaked API key or an unprotected endpoint can lead to unexpected bills, data exposure, or abuse.
Here are the practices every team should follow.
This is the most common mistake. Never include your XVAPI key in frontend JavaScript, mobile apps, or public repositories.
// WRONG — key exposed to anyone who opens DevTools
const response = await fetch('https://api.xvapi.com/v1/chat/completions', {
headers: { 'Authorization': 'Bearer sk-live-abc123...' }
});
// RIGHT — proxy through your backend
const response = await fetch('/api/ai/chat', {
method: 'POST',
body: JSON.stringify({ message: userInput })
});
Always route AI requests through your own backend, where the API key stays server-side.
Protect your budget and your backend:
User prompts should be treated like any other user input:
MAX_PROMPT_LENGTH = 4000
def sanitize_prompt(user_input: str) -> str:
return user_input[:MAX_PROMPT_LENGTH].strip()
Maintain separate API keys for:
This way, a compromised dev key doesn't affect production.
Watch for sudden spikes in:
XVAPI's dashboard provides real-time usage analytics to help catch anomalies early.
Set a rotation schedule — quarterly at minimum. When rotating:
| Practice | Effort | Impact |
|---|---|---|
| Backend proxy | Low | Critical |
| Rate limiting | Medium | High |
| Input validation | Low | High |
| Key separation | Low | Medium |
| Usage monitoring | Low | High |
| Key rotation | Low | Medium |
Security isn't optional for production AI systems. Start with these fundamentals, and you'll avoid the most common pitfalls.