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Safely let LLMs analyze tokenized databases without exposing sensitive data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Cloakbox" yet — see the docs or source repo.
Use Cloakbox to query the tokenized copy of our customer database and calculate repeat purchase rates by region for the past 12 months, ensuring no PII is exposed during analysis.
A regional repeat-purchase analysis based on tokenized data, with sensitive fields kept inaccessible.
Use Cloakbox to run join-preserving queries across the orders and users tables, analyze purchase frequency of high-value customers, and enable fail-closed PII scanning.
Cross-table analytical results with joins preserved, while unsafe queries are blocked if PII risk is detected.
Use Cloakbox to compare the tokenized copy with the original database for monthly revenue totals and produce an audit-ready explanation of numeric equivalence.
Monthly revenue summaries plus an explanation proving the tokenized analysis preserves key numeric metrics.
Provide AI agents safe read-only email access with redaction and sanitization.
Redact secrets from AI agent traces for safe storage and sharing.
Securely query clinical SQL Server data with local LLM and strict SQL validation.
Proxy internal APIs for Claude while automatically masking sensitive banking data.
Classify documents, extract fields, mask PII, and export AI-ready datasets.
Anonymize database results for AI agents by replacing PII with realistic fake data.