Why Regex, Not AI?

For regulatory compliance, you need results you can explain and reproduce. Our deterministic approach delivers exactly that—no black boxes, no surprises.

Detailed Comparison

Aspect	Regex-Based (Us)	AI/ML-Based
Reproducibility	100% identical results	Results may vary
Auditability	Fully explainable	Black box
Training Data	Not required	Large datasets needed
Model Drift	None—patterns are fixed	Degrades over time
Performance	Fast, predictable	Variable, GPU-dependent
Compute Cost	Low (CPU only)	High (GPU often needed)
Regulatory Compliance	Easy to demonstrate	Difficult to prove

How Pattern Matching Works

Each entity type has carefully crafted regex patterns that match specific formats.

Email Addresses

[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}

Matches standard email format: local-part@domain.tld

Credit Card Numbers

\b(?:4[0-9]{12}(?:[0-9]{3})?|5[1-5][0-9]{14}|...)\b

Matches Visa, Mastercard, Amex, and other card formats with Luhn validation

German IBAN

DE[0-9]{2}\s?[0-9]{4}\s?[0-9]{4}\s?[0-9]{4}\s?[0-9]{4}\s?[0-9]{2}

Matches German IBAN format with optional spaces

Built for Compliance

When auditors ask "why was this detected?" you need a clear answer. Our regex-based approach provides exactly that.

GDPR Article 25: Privacy by design with explainable processing
ISO 27001: Documented, repeatable processes
Audit Trail: Every detection can be traced to a specific pattern

Example Audit Response

Q: Why was "john.smith@company.com" flagged?

A: Matched email pattern at position 45-68 with confidence 0.95. Pattern: standard email format validation.

Powered By Open Source

Built on industry-leading open-source technologies trusted by thousands of organizations worldwide.

Microsoft Presidio

Enterprise-grade PII detection and anonymization engine developed by Microsoft, providing accurate identification of sensitive data across multiple languages.

github.com/microsoft/presidio

spaCy & Stanza

State-of-the-art natural language processing libraries for named entity recognition, supporting 27+ languages with high accuracy.

spacy.io stanza

Hugging Face Transformers

Cutting-edge transformer models for enhanced entity recognition in Arabic, Hindi, and Turkish languages.

huggingface.co/transformers

React & Next.js

Modern web framework providing fast, accessible user interfaces with server-side rendering for optimal performance.

nextjs.org

Tauri

Lightweight desktop application framework enabling secure, native applications for Windows, macOS, and Linux.

tauri.app

PostgreSQL

Robust, ACID-compliant relational database ensuring data integrity and reliable transaction processing.

postgresql.org

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