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Phase 12

PII Detection

~2 min read

Concept & How It Works

    Why Does It Exist?

    Agents process user data, logs, and documents containing PII. Leaking PII in responses or traces violates GDPR/HIPAA and destroys trust.

    Real-World Analogy

    PII detection is a redaction pen that runs automatically — black out sensitive lines before they leave the building.
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    Visual Workflows

    What is PII Detection?

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    Example

    Scenario

    User pastes SSN in chat; output guardrail redacts before display; trace stores `SSN-[REDACTED]` not the real number.

    Solution

    In Security & Guardrails, apply PII Detection to this scenario: User pastes SSN in chat; output guardrail redacts before display; trace stores `SSN-[REDACTED]` not the real number. Identify the inputs, run the technique, validate the output, and note one thing you would monitor in production.

    Practice Task

    Do this before moving to the next module — reading alone is not enough.

    Open the Code Walkthrough below and run it locally. Change one parameter related to PII Detection (e.g. model, temperature, top_k, or tool name), observe the difference in output, and write 2–3 sentences explaining what changed.

    Code Walkthrough

    Highlighted lines show where PII Detection happens in the code.

    PII Detection
    1from presidio_analyzer import AnalyzerEngine  # import dependencies2analyzer = AnalyzerEngine()3results = analyzer.analyze(text=response, language="en",4    entities=["EMAIL_ADDRESS", "US_SSN", "CREDIT_CARD"])5redacted = anonymize(response, results)

    Commands to Remember

    Commands to Remember

    • pip install guardrails-ai # input/output validation
    • pip install presidio-analyzer # PII detection

    Common Mistakes

    • Treating PII Detection as a black box without evaluation
    • Ignoring cost and latency in production
    • Skipping error handling for pii detection

    Cheat Sheet

    Quick recap — the most important points from this module.

    Cheat Sheet

    quick ref
    • PII Detection
    • Presidio
    • Tokenization
    • GDPR