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SkyFlow

SkyFlow

Document Processing
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about

Skyflow is a data privacy vault that isolates sensitive information with tokenization and polymorphic encryption. Store PII, PHI, or PCI data in a governed vault while apps use tokens. Field-level policies control who can see what. Regional vaults support residency. With SDKs, connectors, and zero-copy workflows, teams reduce breach risk and simplify compliance without rewriting core systems, even during expansions.

Features

1

Tokenization and Encryption

Swap sensitive fields for tokens while preserving formats so downstream systems keep working. De-tokenization is strictly controlled and logged. Polymorphic encryption protects values at rest and in use. Because apps handle tokens instead of raw data, leaks are less damaging and access is tightly scoped. This shift reduces blast radius and limits how many components ever see true identifiers in memory.

2

Field-Level Policies and Roles

Define who may view, mask, or transform each field per role, tenant, or workflow. Policies can require justifications or time-bound access. Attribute-based rules adapt to context, such as region or device risk. With granular controls enforced by the vault, teams prove least-privilege access in audits and avoid privilege creep that appears when permissions spread across many services.

3

Regional Vaults and Residency

Choose vault locations to keep personal data within legal boundaries while sharing tokens globally. Data maps document where values live. Residency and purpose controls prevent accidental replication. These structures let organizations expand into new markets with confidence, meeting obligations without duplicating databases. As laws evolve, updates land in the vault policy layer, not in every app.

4

SDKs, Connectors, and Zero-Copy

Use client and server SDKs to collect data directly into the vault via secure UI components. Connectors route tokens into analytics and billing systems without exposing raw values. Zero-copy queries run joins using tokens. Because integrations favor composition, teams add privacy controls incrementally, which shortens timelines and avoids risky migrations that would otherwise stall projects.

5

Logging, Evidence, and Compliance

Every access request, policy change, and de-tokenization is recorded with actor, time, and purpose. Reports summarize activity for auditors. Data subject workflows handle export and deletion requests. By centralizing evidence, organizations respond to regulators confidently and reduce the cost of proving compliance. These routines turn privacy from ad hoc tickets into a dependable practice.

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Recomended For

Best for fintech, healthcare, marketplaces, and SaaS platforms that must protect PII and unlock data use. With tokenization, field policies, regional vaults, and connectors, Skyflow reduces breach exposure and audit toil. Leaders gain clarity on where data lives and who can access it, so integrations proceed faster without compromising privacy promises to customers and regulators.

What it solved

Skyflow replaces scattershot encryption, homegrown token tables, and risky data copies with a governed privacy layer. Sensitive values land in a vault while apps operate on tokens. Policies and logs make access explicit. Because residency and subject requests are handled centrally, teams cut compliance cost and ship features sooner. The outcome is tighter security and trust that scales with product growth.

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