Pattern PII Detector

Software componentSafety & SecuritySafety, Security & Governancearc:PatternPIIDetector

A PII detector that matches regular-expression patterns for structured identifiers such as Social Security numbers, credit card numbers, phone numbers and email addresses.

Responsibility. Detects format-structured PII.

Also known as: Pattern-based detection, Regex PII detection, PHI pattern scanner

Variant of PII Detector abstract

When to choose. Choose for structured PII with predictable formats (SSNs, credit cards, phone numbers, emails); cheapest strategy but misses names and contextual identifiers.

Direct neighbourhood (hover for relationship types)

Relationships

is configured by structural

PII Pattern Library Ch6.4 Ch9.1 +1

is invoked by dependency

alternative to variability

Design guidance

MAY auto-redact high-confidence pattern matches without human review.
SHOULD keep separate patterns per PII type to enable granular logging of which type triggered a block.

Quantitative guidance

As stated by the sources; verify before use.

Catches 60-70% of PII in typical business documents; example confidence 0.95 (Ch6.4).

Classification

Patterns: Regular-expression matching
Quality attributes: Performance efficiency (ISO/IEC 25010)
Risks mitigated: Exposure of SSNs, credit card numbers, emails and phone numbers

Sources

Ch6.4: T. Nguyen, "Data Quality Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.4. ISBN: 9798244538229.
Ch9.1: T. Nguyen, "Output Filtering and Content Moderation," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 9.1. ISBN: 9798244538229.
Ref9.04: "Safety Guardrails Implementation for Agent Systems," unpublished reference note (04-Safety-Guardrails-Implementation.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note