Skyflow for AI Data Sanitization

Sanitize Enterprise Data for AI

With privacy-preserving anonymization and full referential integrity across multiple modes of data

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The problem

Buying or Selling Enterprise Data?

Eliminate PII
and BII risk

Preserve referential integrity

Control what gets redacted

Sanitize multi-modal data with shape intact

the Solution

Data Sanitization Platform

Sanitize data for AI training. Remove the sensitive information. 
Keep the context that makes the data valuable.
01

Sanitize before delivery

Detect and replace sensitive values inside the supplier's own data preparation workflow.

02

Preserve training value

Retain structure and relationships instead of stripping out everything that looks sensitive.

03

Govern cross-border data transfers

Apply jurisdiction-aware controls across multi-modal data, wherever it moves.

Sanitization Modes

Choose How to Protect Your Data

Apply the right sanitization method for your data and use case, per entity type, per run.
TOKENIZE

Opaque + Reversible

Use when the original may need to be recovered by an authorized workflow.

Mask

Partially visible

Use when reviewers need limited field context without the complete sensitive value.

Redact

Removed entirely

Use when the sensitive value should not appear in output in any form.

Synthetic data

Realistic stand-in

Use when data must stay natural and useful for AI training, testing and evaluation

Sanitize Any Training Data, in Any Modality

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Multi-Modal Detection

Eliminate PII and BII risk

Find and remove personal/business identifiers in PDFs, transcripts, logs, images, and voice.

Referential integrity

Entity coherence

One person, one stand-in, across every file, format, and source system.

AI Pipeline Data Protection

Repeatable AI pipelines

Lock the entity spec once. Every batch runs the same way, at intake cadence.

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Data De-Identification

Context-preserving tokenization

Sanitize sensitive data before it reaches short or long-term memory.

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AI Sovereignty & Data Residency

Control data. De-risk compliance.

Single-tenant infrastructure, private connectivity, and keys you hold.

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Audit, Traces, and Logging

Compliance audit

What was detected, what was replaced, and which policy applied, recorded per run.

AI Sovereignty

Data Residency
by Design

Train and deploy AI without inheriting regulatory risk.

Learn More
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Related Resources

Secure Autonomous Agents at Scale

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Keep Sensitive Data out of Glean

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Data Sanitization vs. Data Anonymization

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