Protect Your
Data in
AI Models

Data-level protection that makes sensitive enterprise data safe to use in AI systems without slowing teams or breaking compliance.

4111 8065 0631 5402

**** **** **** 5402

Masking

10/25/1982

40-45 years old

Anonymization

392-61-4981

567-309-0124

Tokenization

192168721

******8721

Masking

Priya Patel

Jane Doe

Synthetic

987654

003584721

Tokenization

$192.74

$192.74

Raw data

726

P!4

Encryption

75201

Dallas Metro

Anonymization

05/09/2025

05/09/2025

Raw data

1X9JC12A7DY50

1X9JC12A7DY50

Token

35DF515A74

******5A74

Masking
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Embedded and Semantic Controls

Data Security Built
into the AI Data Flow

AI requires controls that protect data before it enters AI workflows and govern interactions as AI uses it.

Protegrity combines embedded controls upstream with semantic controls at runtime — delivering precision without sacrificing trust.

Secure Intelligent Workflows

Most AI projects stall when sensitive data can’t be used safely in production workflows. Protegrity removes the security, risk, and compliance barriers that slow progress or block AI deployments.

Query enterprise data using natural language without exposing sensitive fields — enabling analytics that remain accurate, explainable, and governed in production.

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Partner Integrations & Protectors

Native Across
Your Data & AI Stack

Apply unified data protection across clouds, data platforms, and AI systems — everywhere data is stored, processed, or accessed — without lock-in or re-architecture.

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    See Your
    Data Made
    Safe for AI

    Explore how Protegrity protects sensitive enterprise data across analytics, cloud, and AI.

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