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AI PII Leakage Prevention

by AguardicOfficial·v1.0.0

Prevent AI models from leaking personally identifiable information in their outputs.

About This Policy Template

Specialized policy for detecting PII leakage specific to AI/LLM outputs. Catches training data regurgitation, user data echoing in responses, and improper disclosure of personal information. Different from general PII detection — this focuses on AI-specific leakage patterns where models reveal data they were trained on or user data from context.

Policy Rules(4)

Critical Severity

(1)

SSN in AI Output

Detect Social Security Numbers in AI-generated content

Rule

Medium Severity

(3)

Email Address in AI Output

Detect email addresses in AI responses that may indicate data leakage

Rule

Phone Number in AI Output

Detect phone numbers in AI-generated responses

Rule

Physical Address in AI Output

Detect physical addresses in AI outputs that may reveal personal information

Rule

Enforcement by Integration

What happens when a violation is detected, based on the enforcement mode and integration type.

IntegrationBlockApprovalWarnMonitor
Version Control
GitHub, GitLab, Bitbucket
Fail check run / merge request statusPending check run — held for reviewNeutral check run / comment on PRPass check run (silent)
Email — Gmail
Gmail
Quarantine label; + violation label (outbound)Quarantine label — held for reviewAdd warning labelLog only
Email — Outlook
Outlook
Move to quarantine folder; + flag (outbound)Move to quarantine — held for reviewFlag + categorizeLog only
Messaging
Slack, Teams
Post violation warning in channelPost 'held for review' warningPost warning in channelLog only
Storage
Google Drive, Dropbox, OneDrive
Move file to quarantine folderQuarantine file — held for reviewLog onlyLog only
AI Proxy
OpenAI, Anthropic, Gemini, MCP, Agent
Block request (return 403)Hold request — return review IDAllow request + audit trailLog only
API
REST API
Return BLOCK outcome (client decides)Return APPROVAL_REQUIRED + poll URLReturn WARN outcomeLog only

Version History

1 version published

v1.0.0Active2/23/2026

Initial release

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