What Is an AI Data Capsule?
Enterprise data encapsulation for secure LLM usage — how to protect sensitive data before AI processing and restore usable outputs after.
Problem
Enterprises need to process sensitive documents through large language models for summarization, extraction, translation, and analysis. Sending raw data to external AI services creates unacceptable exposure. Existing approaches — masking, redaction, tokenization — destroy the context AI models need to produce useful outputs.
The result is a binary choice: expose data to use AI, or protect data and get unusable results.
Explanation
An AI data capsule operates as an AI enablement data layer through three stages within a restorable workflow:
- Local Encapsulation. Sensitive elements in enterprise documents — names, account numbers, dates, medical codes, contract terms — are detected and replaced with structure-preserving representations. The mapping between original and replaced values is stored locally, never transmitted.
- Protected AI Processing. The encapsulated document is sent to any external LLM. Because document structure is preserved, the AI model can perform summarization, extraction, classification, and translation effectively. No original sensitive data leaves the enterprise environment.
- Local Restoration. AI results are automatically restored locally with original enterprise data. The locally stored mapping is applied to reconstruct outputs with real names, amounts, and references, producing results that are directly usable in business workflows.
Enterprise Example
Financial Compliance Review
A bank needs AI to summarize 500 loan applications for compliance review. Each document contains customer names, social security numbers, account balances, and income data.
With LLM Capsule, the bank encapsulates all documents locally. AI processes the protected versions and generates structured summaries. Local restoration restores the real customer names and account details into the summaries, producing compliance-ready outputs without ever exposing raw customer data to the AI provider.
FAQ
See how LLM Capsule works with your data
Bring your documents, deployment constraints, and evaluation criteria. We demonstrate on your actual workflows.
See how LLM Capsule works with your data
Bring your documents, deployment constraints, and evaluation criteria. We demonstrate on your actual workflows.
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