Multi-Pass Anonymization
65+ PII types detected and anonymized in real-time
Names
2,847
instances detected
Emails
1,234
instances detected
Companies
847
instances detected
IDs
3,421
instances detected
Images
342
OCR processed
Active Anonymization Pipelines
Real-time PII detection and replacement
Slack #engineering-general
Pass 2 of 3: Indirect Identifiers
PII Detected
342 instances
Current Pass
API Keys, S3 Buckets
Time Remaining
~2 minutes
Jira: Cloud Migration
Pass 3 of 3: Entity Resolution
PII Detected
1,247 instances
Current Pass
Cross-reference
Time Remaining
~30 seconds
Anonymization Preview
Before and after comparison
All PII replaced
Hey team, I just spoke with Contact_Alpha from Client_Globex. Their main contact is contact.alpha@client-globex.example. They're interested in our Enterprise plan. I've created ticket TICKET-0042 to track this. The deal is worth $[REDACTED].
Detected PII Types (7):
Multi-Pass Anonymization Process
Three-layer approach for comprehensive PII removal
Pass 1: Direct Identifiers
Names, emails, phone numbers, addresses, SSNs
Pass 2: Indirect Identifiers
Internal hostnames, API keys, S3 buckets, customer IDs, vendor names
Pass 3: Contextual & Entity Resolution
Financial figures, dates, product codenames, cross-reference resolution
PII Detection Categories
65+ types tracked
Direct Identifiers
High RiskIndirect Identifiers
Medium RiskContextual
ContextualMultimodal Processing
OCR and image analysis
Entity Resolution
Cross-reference consistency
Customer "Acme" → "Client_Globex"
Successfully resolved across 47 artifacts (Slack, Jira, GitHub, Confluence)
Project "Phoenix" → "Project_Alpha"
Successfully resolved across 23 artifacts (Jira, GitHub, Linear)
Contact "John" → "Contact_Alpha"
Successfully resolved across 12 artifacts (Slack, Email, Jira)