The Challenge
Enterprise organizations face unique challenges when protecting personal data at scale:
- Millions of documents across HR, legal, finance, and customer service departments
- Multiple data formats: emails, contracts, reports, customer records
- Strict compliance requirements: GDPR, industry regulations, internal policies
- Need for audit trails and accountability across teams
- Data residency requirements and security certifications
The Solution
cloak.business provides enterprise-grade PII protection with the features large organizations need.
Batch Processing
Process up to 100 documents per batch with enterprise plans. Parallel processing for faster results.
Team Management
Role-based access control, shared presets, and centralized billing for teams of any size.
Audit Logs
Comprehensive audit trails for compliance reporting. Track who processed what and when.
ISO 27001
ISO 27001:2022 certified infrastructure. Data processed in Germany with EU residency guaranteed.
Frequently Asked Questions
How does cloak.business help enterprises meet GDPR requirements?
cloak.business detects and anonymizes 320+ PII entity types across 70+ countries with 317 deterministic pattern recognizers. All processing runs on ISO 27001-certified servers in Germany, providing full audit trails required for GDPR compliance documentation.
Can cloak.business handle large-scale enterprise document processing?
Yes. The API supports batch processing of thousands of documents, with structured data endpoints for CSV/JSON workflows. Token-based pricing means you only pay for processed characters, not per-user seats.
Does cloak.business integrate with enterprise tools like Microsoft Word?
Yes. cloak.business offers a Microsoft Word and Excel Office Add-in, a REST API for custom integrations, a desktop app for Windows/macOS, and an MCP server for AI assistant workflows.
Is This Right for You?
Best For
- Organizations with compliance obligations (GDPR, HIPAA, CCPA, PCI-DSS)
- Teams regularly sharing datasets containing names, IDs, or medical records
- Developers building AI pipelines that process user-submitted content
- Enterprises requiring audit logs and reproducible anonymization for legal holds
Not Ideal For
- Single-language English-only pipelines with no PII — regex-only tools may suffice
- Real-time streaming at sub-5ms latency — NLP inference adds overhead
- Fully air-gapped environments without internet access — use Desktop App instead
- Unstructured media files (audio, video) — text extraction is a prerequisite limitation