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Privacy Engine

SmartScrub™ Technology

The core innovation that makes LuminaLog unique. Automatic PII detection and redaction that preserves debugging context.

How It Works

SmartScrub™ uses a combination of regular expressions, machine learning models, and checksum validation to identify sensitive data in your logs before they are stored.

Unlike traditional redaction that simply deletes data or replaces it with[REDACTED], SmartScrub™ uses deterministic dummy values.

Deterministic Dummy Identity

When SmartScrub™ identifies PII like an email address, it generates a consistent dummy value for that specific input. This means the same email address will always result in the same dummy value within your organization.

// Log 1 @ 10:00 AM
logger.info('User login', { email: 'alice@company.com' });
// Stored as: { email: 'user_a7f3@synthetic.io' }

// Log 2 @ 10:15 AM
logger.error('Payment failed', { email: 'alice@company.com' });
// Stored as: { email: 'user_a7f3@synthetic.io' }

Debugging Context Preserved

This allows you to track a single user across multiple logs and services without ever knowing their real identity, maintaining 100% GDPR and HIPAA compliance.

Detected PII Types

SmartScrub™ is pre-configured to detect over 20 types of sensitive data out of the box:

Personal Identifiers

  • Email Addresses
  • Phone Numbers
  • Social Security Numbers
  • Full Names (Beta)

Financial Data

  • Credit Card Numbers
  • Bank Account Numbers
  • CVV Codes
  • SWIFT/BIC Codes

Authentication

  • API Keys
  • Passwords
  • JWT Tokens
  • AWS Secret Keys

Infrastructure

  • Private IP Addresses
  • Database Connection Strings
  • S3 Bucket Names
  • SSH Keys

Security & Compliance

SmartScrub™ is the cornerstone of LuminaLog's security architecture. By ensuring that PII never reaches our persistent storage, we drastically reduce the impact of potential data breaches and simplify your compliance requirements.

GDPR Article 25

Fulfills data protection by design and by default requirements.

HIPAA Compliance

Automatically de-identifies Protected Health Information (PHI).

Next Steps