Why every AI integration needs PII redaction and how to implement it in 60 seconds
The AI Privacy Problem Nobody Talks About
You're building a ChatGPT wrapper or any other AI wrapper. Users submit questions.
Those questions contain:
- Emails
- Phone numbers
- Social security numbers (yes, really)
- Credit card numbers (users paste them)
- Home addresses
All of it goes directly to OpenAI's servers.
Question: Does your privacy policy say "We share user data with third parties"?
Probably not. But you just did.
The Lawsuit Waiting to Happen
GDPR fines in 2024: €2.1 billion
Average data breach lawsuit settlement: $3.8 million
SEC now requires disclosure of AI related data handling.
It's not paranoia. It's risk management.
The Simple Fix
Redact PII before sending to the LLM.
User Input: "My SSN is 123-45-6789 and email is john@company.com"
↓
PII Firewall Edge
↓
Clean Input: "My SSN is [SSN] and email is [EMAIL]"
↓
Send to ChatGPT
ChatGPT never sees the actual PII. Your liability drops to near zero.
Implementation (60 seconds)
Step 1: Get API Key
Sign up on RapidAPI (free tier available)
Step 2: Call Before LLM
async function sanitizeForLLM(userInput) {
const response = await fetch(
'https://pii-firewall-edge.p.rapidapi.com/v1/redact/fast',
{
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-RapidAPI-Key': process.env.RAPIDAPI_KEY
},
body: JSON.stringify({ text: userInput })
}
);
const { redacted } = await response.json();
return redacted;
}
// Usage
const cleanInput = await sanitizeForLLM(userMessage);
const aiResponse = await openai.chat.completions.create({
messages: [{ role: 'user', content: cleanInput }]
});
Step 3: There is no Step 3
Seriously. That's it.
What Gets Detected
| Category | Types | Examples |
|---|---|---|
| Contact Info | Email, Phone | john@test.com, 555-1234 |
| Government IDs | SSN, Passport | 123-45-6789, AB1234567 |
| Financial | Credit Card, IBAN | 4111-1111-1111-1111 |
| Healthcare | NPI, Medicare | 1234567890 |
| Developer | API Keys | sk_live_xxx, ghp_xxx |
Total: 152 PII types across 50+ countries.
Why Not Build It Yourself?
I tried. Here's what happened:
Week 1: Basic regex for SSN and email. "This is easy!"
Week 2: User submits Indian Aadhaar number. Regex fails. We used dictionary lookups and proximity patterns, not just regex
Week 3: Added 15 more patterns. Performance tanked.
Week 4: Discovered Luhn checksum. Realized I was matching fake credit cards.
Month 2: Still finding edge cases (international phone formats, API keys, crypto addresses...)
Month 8: Finally production-ready. 2,000+ lines of code. 30+ checksum validators.
You can spend 8+ months on this and then few more months in implementing enterprise grade security and then optimizing algorithms for performance
Or use PII Firewall Edge API and ship today.
Performance
| Endpoint | Latency | Use Case |
|---|---|---|
/fast |
2-5ms | Logs, real-time |
/deep |
5-15ms | Context-heavy data (Addresses, Names) |
The Zero-AI Advantage
"Privacy" APIs that use ML models to detect PII:
Your Data → Their AI Server → Model Training → ???
PII Firewall Edge:
Your Data → Cloudflare Edge → Regex + Checksums → Deleted
No AI. No logs. No training. No liability.
We run on stateless Cloudflare Workers. No database is connected to the processing pipeline. The code is ephemeral.
Pricing Reality
| Provider | Monthly Cost |
|---|---|
| AWS Comprehend | $250+ |
| Google DLP | $200+ |
| Private AI | $500+ |
| PII Firewall Edge | $5 |
Same security. 97% less cost.
Get Started
Free: 500 requests/month
Pro: $5/month (5,000 requests/month)
curl -X POST "https://pii-firewall-edge.p.rapidapi.com/v1/redact/fast" \
-H "Content-Type: application/json" \
-H "X-RapidAPI-Key: YOUR_KEY" \
-d '{"text": "test@example.com 123-45-6789"}'
Try it for free - PII Firewall Edge
SDK Docs - PII Firewall Edge - SDKs
Building AI features? Don't leak user data. Start protecting your users today.
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