DataGuard with Skyflow

Skyflow protects the field. We protect the file.

Skyflow isolates sensitive values out of your database and hands your application a token. That solves structured data properly. It does not touch the contract PDF a user uploads, and most platforms discover that gap late. The two layers compose without overlapping at all.

Skyflow

Skyflow takes the sensitive value out of your database and leaves a token behind.

DataGuard

DataGuard takes the sensitive passage out of the document and leaves a reviewed, logged copy behind.

Claims about Skyflow link to Skyflow's own documentation. Checked 8 Sep 2026.

// 01 What Skyflow is good at

The isolation model is genuinely good architecture

Sensitive values leave your database entirely and live in a vault with its own governance. Your compliance scope shrinks because the data is not in your system to begin with.

Tokenisation with real options

Format-preserving tokens that drop into an existing schema without a migration, and deterministic tokens you can still join on. That is careful design, not a checkbox.

Client-side SDKs keep your frontend clean

Sensitive values can be collected without your own code ever handling them, which removes a whole class of accidental logging and retention.

// 02 Where the boundary sits

There is almost no overlap here, which is exactly why the pairing is interesting. Skyflow governs structured values. DataGuard governs unstructured documents.

 SkyflowDataGuard
What it holdsStructured field values: a name, an account number, a record.1Nothing. We transform documents in place and keep no copy of them.
The artefactA token standing in for a value inside your application.2A PDF, DOCX, XLSX or CSV, rendered with the sensitive passages removed or aliased.
Where it sitsA vault your data moves into, by design.1A step in the path out, with no standing store.
The share momentNot the problem it solves: the vault governs access to values, not what leaves as a file.2The whole problem it solves, with a reviewer and a record per share.

// 03 What we would build with them

The alias namespaces are the obvious place these two meet, and we would build that integration rather than wait to be asked:

01

Skyflow tokens as the DataGuard alias namespace

When DataGuard replaces a name with a consistent alias, that alias could be a Skyflow token. The document becomes safe to share and the mapping back stays in the vault where it belongs, rather than in a second store we would have to justify.

02

Round-trip through the vault

Deterministic tokens are joinable, so an aliased document set stays analytically useful. Two documents referring to the same person still agree, without either of us holding the real value in the clear.

03

Documents as a Skyflow surface

A platform that has vaulted its structured PII usually still has an unstructured document problem sitting next to it. We are happy to be the answer that ships under someone else's integration story.

04

Deploy where the vault lives

We run in your cloud or air-gapped, on our own models with no third-party AI, so the transformation step can sit inside the same boundary as the vault rather than reaching across it.

// 04 Questions we get asked

Does DataGuard replace Skyflow?
No, and there is almost nothing to replace. Skyflow tokenises structured values out of your database. DataGuard removes sensitive passages from unstructured documents such as PDF, DOCX and XLSX. The two layers do not overlap.
Can DataGuard aliases use Skyflow tokens?
That is the integration we would build. When DataGuard replaces a name with a consistent alias, that alias could be a Skyflow token, so the document becomes safe to share and the mapping back lives in the vault rather than in a second store.
We already vault our PII. Why would we need document redaction?
Because a vault governs values your application holds, not files your users upload and send. A contract PDF with a client name in paragraph three never passes through the vault, and most platforms find that gap late.

Sources

  1. 1. docs.skyflow.com — Tokenization checked 2026-09-08
  2. 2. skyflow.com — Data Privacy Vault checked 2026-09-08