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CODITECT Privacy Control Manager

Implements privacy-aware data handling with PII detection, redaction, and 4-level privacy model for MEMORY-CONTEXT system.

Privacy Levels:

  • PUBLIC: Can be shared publicly, no PII
  • TEAM: Internal team sharing, some PII allowed
  • PRIVATE: Restricted access, full PII allowed
  • EPHEMERAL: Never stored, session-only

Features:

  • Automatic PII detection (emails, phones, SSN, credit cards, IP addresses, etc.)
  • Configurable redaction strategies
  • Privacy-aware export filtering
  • GDPR compliance support
  • Audit trail for privacy operations

Usage: from privacy_manager import PrivacyManager, PrivacyLevel

pm = PrivacyManager()

# Detect PII
pii_found = pm.detect_pii(text)

# Redact based on privacy level
safe_text = pm.redact(text, level=PrivacyLevel.PUBLIC)

# Check if content is safe for level
is_safe = pm.is_safe_for_level(text, PrivacyLevel.TEAM)

Author: AZ1.AI CODITECT Team Sprint: Sprint +1 - MEMORY-CONTEXT Implementation Date: 2025-11-16

File: privacy_manager.py

Classes​

PrivacyError​

Base exception for privacy management errors.

PIIDetectionError​

Raised when PII detection fails.

RedactionError​

Raised when redaction operation fails.

ConfigLoadError​

Raised when privacy configuration cannot be loaded.

PrivacyLevel​

Privacy levels for data handling.

PIIType​

Types of Personally Identifiable Information.

PIIDetection​

Represents a detected PII instance.

PrivacyConfig​

Privacy configuration settings.

PrivacyManager​

Manages privacy controls for MEMORY-CONTEXT system.

Functions​

main()​

CLI entry point for testing.

to_dict()​

Convert to dictionary.

detect_pii(text, pii_types)​

Detect PII in text.

redact(text, level, detections)​

Redact PII based on privacy level.

is_safe_for_level(text, level, threshold)​

Check if text is safe for given privacy level.

get_privacy_summary(text)​

Get privacy analysis summary for text.

Usage​

python privacy_manager.py