Your team is sending sensitive customer data to AI tools every day.

IO Gate detects and masks PII before text reaches ChatGPT, Claude, or any LLM. Get visibility, control, and zero-retention security.

Real-time maskingWorks with any LLM~200ms latency
Universal Guardrail

Use AI safely.

IO Gate acts as a neutral security layer between your team and every major frontier model.

Critical Exposure

The Cost of Unprotected Data

Data breaches, compliance failures, and privacy violations cost organisations millions

Data Leakage

Unmasked customer data flowing into third-party LLMs creates irreversible security risks and compromises your organisation's privacy posture.

Operational Drag

Engineering resources wasted on custom masking logic slow product velocity. Centralised protection is required for modern speed.

Privacy Gaps

Manual redaction cannot scale with growing data volumes, leaving teams exposed to accidental disclosure and compliance violations.

Security Architecture

The AI Firewall

A transparent proxy that keeps your AI workflows intact while protecting sensitive data

01

Input Request

A request containing sensitive user data is sent from your application to the IO Gate API endpoint.

POST api.iogate.io/v1/chat/completions
02

Firewall Interception

IO Gate intercepts the call before it reaches the AI model, logging metadata and initiating the masking pipeline.

{ "entities_detected": 3, "policy": "strict" }
03

Identity Masking

Named entities — names, emails, card numbers, addresses — are replaced with semantically neutral placeholders.

"Sarah" → [PERSON_1] "[email protected]" → [EMAIL_1]
04

Secure AI Handoff

The sanitised prompt is forwarded to the target LLM. No sensitive data ever leaves your security boundary.

Forwarding to gpt-4o — 0 PII tokens in payload
05

Protected Output

The AI response passes back through IO Gate, which re-substitutes original tokens before returning the result.

[PERSON_1] → "Sarah" [EMAIL_1] → "[email protected]"
Enterprise Sanitization

Total visibility.
Zero exposure.

IO Gate sits as a real-time proxy between your users and any AI tool. Every prompt is analyzed, scrubbed, and logged before it leaves your network.

  • Dynamic Entity DetectionRecognizes 50+ types of PII including IDs, names, and addresses.
  • Context PreservationAI models maintain full operational logic without seeing raw data.
  • Zero Data RetentionAudit-ready verification without storing sensitive content.
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Status: Active
API_PROXY.LOG
Scanning
Detection
Policy
Scrubbing
Inbound Request

Analyze this support ticket: customer Emma Rodriguez, [email protected], DOB 12/03/1990, disputed charge on card 4111 1111 1111 1111, ref TXN-9920441.

Sanitized PayloadScanning…

Analyzing payload for PII patterns…

Agents Active
Live Demo

See What IO Gate Catches

Paste any text to scan for PII — structural patterns + English context NER, running entirely in your browser. No data leaves your device.

Your text
Built to Scale

Built for
Scale.
Designed for Security.

GDPRCCPAHIPAA
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Context-Aware AI

Preserves the full semantic meaning of prompts after masking, so AI responses remain accurate and useful.

Optimised Throughput

Low-latency pipeline adds ~200ms overhead per call — invisible to users, transparent to your infrastructure.

Format Preserving

Placeholder tokens maintain data shape (name length, address format) to avoid model confusion.

Drop-in API

Swap your existing LLM base URL for the IO Gate endpoint. Zero code changes in your application logic.

Zero Data Retention

No message content is ever stored on IO Gate servers. Only aggregate anonymised metrics are retained.

For Developers

See the Code.
Integrate in minutes.

  • Native SDK: filter() masks PII, reconstruct() restores it
  • Proxy mode: change only the base URL — zero code changes
  • Works with GPT-4o, Claude, Gemini, or any model
  • Full reversibility — original values re-injected after response
Request API Access
openai-proxy.ts
1import OpenAI from 'openai';
2 
3// Drop-in: IO Gate acts as a transparent proxy
4const client = new OpenAI({
5 baseURL: 'https://api.iogate.io/v1',
6 apiKey: process.env.IOGATE_API_KEY,
7});
8 
9const response = await client.chat.completions.create({
10 model: 'gpt-4o',
11 messages: [{
12 role: 'user',
13 content: 'Contact John at [email protected]',
14 }],
15});
16 
17// PII is masked before leaving your infra and
18// re-injected in the response. Nothing else changes.
Support Center

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Questions

Ready to secure your data?

Request early access and we'll be in touch within 24 hours.

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