HomeAutomated redaction of sensitive informationCompliance & Audit PreparationAutomated redaction of sensitive information

Automated redaction of sensitive information

Purpose

1.1. Automates identifying and redacting personally identifiable information (PII), financial data, and confidential info from archived documents for compliance.
1.2. Ensures automated compliance with data privacy laws (GDPR, HIPAA) before documents are stored or shared.
1.3. Minimizes manual labor by using automation workflows for audit readiness, certification, and regulatory documentation.
1.4. Automatedly protects reputational and legal risks during compliance and audit preparation.
1.5. Supports automating redaction across textual documents, PDFs, scanned images, and emails prior to archiving in enterprise content platforms.

Trigger Conditions

2.1. Automated archiving of any document flagged for compliance purposes.
2.2. New file is uploaded in archiving solutions (cloud/on-premises).
2.3. Scheduled automated batch jobs for pre-audit cycles.
2.4. Compliance workflow triggers on system notification requiring automated redaction.
2.5. Automated detection of sensitive keywords, regular expressions, or entities in documents.

Platform Variants

3.1. Microsoft Azure Content Moderator
• Feature/Setting: Use Text Moderation API—automates detection/redaction with "Review Text" endpoint configuration.
3.2. AWS Comprehend
• Feature/Setting: Enable automated PII entity detection—configure "DetectPiiEntities" API for documents.
3.3. Google Cloud Data Loss Prevention (DLP)
• Feature/Setting: Automate DLP "redactContent" API—target S3 buckets or GCS folders.
3.4. IBM Watson Discovery
• Feature/Setting: Use "Smart Document Understanding" rules—automated redaction with configured filtering.
3.5. Adobe PDF Services API
• Feature/Setting: Configure automated "Redact API" for batch PDFs in document flows.
3.6. OpenAI GPT-4 (via API)
• Feature/Setting: Automate entity extraction and redaction prompt—custom API call per document.
3.7. Egnyte Protect
• Feature/Setting: Automate DLP policies for redaction—set data patterns for archiving triggers.
3.8. Box Shield
• Feature/Setting: Automated classification policy—detect and redact sensitive documents before archive.
3.9. Symantec Data Loss Prevention
• Feature/Setting: Automate data inspection with "Custom Redaction Policy"—automate redaction for archiving.
3.10. Mimecast Content Examination
• Feature/Setting: Use automated "Data Redaction" policy—attach to archiving job.
3.11. Google Workspace Add-ons
• Feature/Setting: Configure automated App Script for redacting PII before archive in Drive.
3.12. OneTrust Data Discovery
• Feature/Setting: Automated "discover and redact sensitive data" rules for file systems.
3.13. Talend Data Fabric
• Feature/Setting: Automated masking and redaction—configure "Data Masking" components in workflows.
3.14. Smarsh Archiving Platform
• Feature/Setting: Automate redaction policy in content ingestion engine.
3.15. ZL Tech File Analysis
• Feature/Setting: Automated redaction on file indexing—set up PII detection in ingestion flow.
3.16. Proofpoint Information Protection
• Feature/Setting: Configure DLP rules to automate redaction in compliance archiving stream.
3.17. Varonis Data Security Platform
• Feature/Setting: Automated rules for redaction actions—triggered by file system activity.
3.18. Palisade Redaction Engine
• Feature/Setting: API automation for batch redaction—integrate with archive ingestion.
3.19. Relativity Trace
• Feature/Setting: Automated redaction rules for ingestion—set policies for review and audit prep.
3.20. NetDocuments Protect
• Feature/Setting: Automated application of "Redact on Archive" on document upload event.
3.21. Progress MOVEit Automation
• Feature/Setting: Automates workflow for redaction—invoke before file transfer to archive.

Benefits

4.1. Improves compliance audit outcomes by automating privacy protection in archives.
4.2. Automates repetitive manual redaction, reducing human error and process delays.
4.3. Enables scalable, automatable, and consistent protection for large document volumes.
4.4. Automatedly integrates with audit workflow tools for traceable compliance.
4.5. Increases operational efficiency by minimizing compliance review bottlenecks.
4.6. Automates the preparation of documentation for external regulatory audits.

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