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OWASP LLM Top 10LLM02:2025highv1.0.0 · System
PII Input Redaction
Strips PII from user prompts before they reach the model, preventing accidental exposure to third-party LLM providers.
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Creates a Guideline policy. Observation only — nothing is blocked until you promote to Strict.
Defaults to template name. Customise to distinguish multiple instances of the same template.
Leave empty to apply broadly via the template's default data-classification / risk-tier filters.
Rationale
When using third-party LLMs, prompts may be logged or used for training. Redacting PII at the input boundary protects employees from inadvertent personal data disclosure.
Example violation
User prompt: "Can you help me write a follow-up email to john.smith@acme.com about his medical leave request?"Triggers (1)
- inputRedact PII before sending prompt to model
Detectors (1)
- pii_detectorpii-named-entityNER-based PII detection
Actions (2)
- redactReplace PII with [REDACTED_EMAIL], [REDACTED_NAME] etc.
- logRecord redaction event for audit
Tunable parameters (2)
PII detection confidence
basicnumber
Higher = fewer false positives.
Default: 0.8
Preserve format (length, casing)
advancedboolean
Keep redacted tokens roughly the same shape so model behaviour is unchanged.
Default: true
Regulatory references
GDPR Art. 5
Template defaults (suggested target after promotion)
Suggested mode
redact
Risk tiers
—
Data classifications
confidential, restricted
Departments
—
Cloned policies start in Guideline mode. Use the promotion wizard to flip to Strict once you trust the false-positive rate.