blurgate.legal

How blurgate.legal Works

Deterministic, regex-based PII detection that delivers 100% reproducible results. Same input, same output—every time. No AI, no guessing, just transparent pattern matching.

Try It FreeTechnical Documentation

Why Regex, Not AI?

Our Approach

  • 100% reproducible results
  • Fully auditable for compliance
  • No training data required
  • Transparent decision making
  • Fast, predictable performance
  • No model drift over time

AI/ML Approaches

  • Results vary between runs
  • Black box decision making
  • Requires training data
  • Difficult to audit
  • Higher compute costs
  • Model drift over time
Learn more about our technology

The 10-Step Process

From input to output, here's exactly what happens to your document

1

Input Text

Submit your document via web interface, API, or Office Add-in

2

Language Detection

System identifies the document language for optimal processing

3

Tokenization

Text is broken into tokens for pattern matching

4

Pattern Matching

Regex patterns scan for 50+ entity types

5

Context Analysis

Surrounding text improves detection accuracy

6

Confidence Scoring

Each detection receives a confidence score

7

Entity Classification

Detected items are categorized by type

8

Review Results

See all detections with positions and scores

9

Apply Anonymization

Choose your method: Replace, Redact, Hash, Encrypt, or Mask

10

Output Document

Download your anonymized document

Available on Pro and Business plans only

MCP Server: Privacy-First AI Integration

How your data flows through the MCP Server to keep AI tools safe

1

AI Tool Request

Your AI tool (Cursor, Claude) sends a request containing PII

2

MCP Server Intercepts

Server analyzes and detects all PII entities

3

Anonymization

PII is replaced with tokens or redacted

Safe data only
4

AI Processing

AI receives and processes only anonymized data

5

Response Return

AI response comes back through MCP Server

6
Optional

De-tokenization

Optional: Original values restored for user

Real-World Example

Before (with PII)
Process payment for John Doe, email john@example.com, card 4532-1111-2222-3333

What AI sees

After (anonymized)
Process payment for PII_PERSON_001, email PII_EMAIL_001, card PII_CREDIT_CARD_001

What you get back

AI never sees your real PII
Reversible with tokenization mode
Same token costs as web app
Works with multiple AI tools
Enterprise-grade security
Learn more about MCP Server →

Explore Further

Technology

Deep dive into regex-based detection and why it's better for compliance

Architecture

System architecture and how components work together

Security

Five security layers protecting your data at every step

See It in Action

Try our PII detection and anonymization free with 200 tokens per cycle.

Create Free AccountQuick Start Guide