PII Scanner Complete Tutorial Learn how language selection affects detection accuracy

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Deterministic Detection: Regex pattern matching—not AI guessing. Same input = same results.
Demo Language
Workflow Path
Explanation Level

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Correct vs Wrong Language Comparison

✓ Correct Language


Grade: D (High Risk)

✗ Wrong Language

Fewer items detected
Grade: F (Critical Risk)

Why Deterministic Detection Matters

The scanner uses patterns to find personal information. Like a spell-checker that always finds "teh" and suggests "the"—it's consistent and reliable.

Same text + Same settings = Same results

No guessing. No "maybe". No surprises.

Regex-based detection ensures reproducible compliance audits. Unlike ML models that may vary results based on training data or random seeds, regex patterns produce identical outputs for identical inputs.

Benefits:

  • Audit trail integrity (results don't change between scans)
  • Regression testing (verify fixes don't break detection)
  • Legal defensibility (consistent application of detection rules)

The detection engine uses compiled regex patterns with zero ML/AI components. Pattern matching is deterministic by design:

// Example: German IBAN pattern
DE_IBAN: /DE\d{2}\s?\d{4}\s?\d{4}\s?\d{4}\s?\d{4}\s?\d{2}/g

// Input: "DE89 3704 0044 0532 0130 00"
// Output: Always matches at position 0, length 31
// No variance, no confidence scores, no probabilistic output

Hash verification: Same input text + same config.language → identical SHA-256 hash of detection results JSON.