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Redact PII Before Sending Data to LLMs: A Developer's Guide

AI Summary4 min read

TL;DR

Developers must redact PII before sending data to LLMs to avoid legal risks and privacy violations. The PII Firewall Edge API offers a simple, cost-effective solution that detects 152+ PII types without using AI models.

Key Takeaways

  • •Sending unredacted PII to LLMs violates privacy policies and exposes developers to GDPR fines and lawsuits.
  • •Redacting PII before transmission reduces liability to near zero by preventing third-party AI services from accessing sensitive data.
  • •Building custom PII detection is complex and time-consuming, requiring 8+ months for production-ready solutions with 2,000+ lines of code.
  • •PII Firewall Edge API provides a 60-second implementation with 152+ PII type detection, no AI training, and stateless processing for $5/month.
  • •The solution offers low latency (2-15ms), handles international formats, and is 97% cheaper than alternatives like AWS Comprehend or Google DLP.

Tags

aisecurityapishowdevPII RedactionAI PrivacyGDPR ComplianceLLM SecurityDeveloper Tools

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 [email protected]"
     ↓
PII Firewall Edge
     ↓
Clean Input: "My SSN is [SSN] and email is [EMAIL]"
     ↓
Send to ChatGPT
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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 }]
});
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Step 3: There is no Step 3

Seriously. That's it.

What Gets Detected

Category Types Examples
Contact Info Email, Phone [email protected], 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 → ???
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PII Firewall Edge:

Your Data → Cloudflare Edge → Regex + Checksums → Deleted
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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": "[email protected] 123-45-6789"}'
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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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