By · Last updated 2026-04-13

Back to BlogTechnical

Air-Gapped Privacy: Anonymize Offline

FedRAMP and ITAR environments have one thing in common — the cloud is not an option. Reversible pseudonymization under GDPR Art.

April 13, 20269 minute read
air-gapped anonymizationSCIF document processingITAR complianceFedRAMP offline toolsoffline PII detection

The Air-Gap Rule

Some networks have no internet. Not by policy — by design.

A SCIF (Sensitive Compartmented Information Facility) is a Faraday-caged room. No wireless signal goes in or out. ITAR (International Traffic in Arms Regulations) bans sending covered technical content to unapproved parties. Cloud providers are not ITAR-cleared. For these groups, "cloud SaaS" is not a risk to manage.

For these sites, cloud tools do not work. Full stop.

A tool that needs a live network link cannot run here. A tool that calls a license server is blocked. A tool that sends files to a cloud API for detection cannot function inside a SCIF. These are not edge cases. They are daily constraints for defense teams.

The ITAR Case

A data scientist at a defense firm has personnel records under ITAR. She must remove names and IDs before sharing the files. Her network is air-gapped.

There is no cloud fix. The only path is a tool that runs on the local device. It must store its models locally. It must produce clean output with no external calls.

The Tauri 2.0-based Desktop App does this. After install, no network calls happen during a run. The spaCy NER models and regex patterns all run on the local CPU. Output stays on the device until the user exports it.

Why Reversibility Matters

Classified work often needs reversible pseudonymization. Teams swap real names for codes. They keep the records useful. They protect real identities.

GDPR Article 4(5) defines pseudonymization as a formal privacy measure. It lowers risk. Pseudonymized records carry fewer legal duties — if the lookup token is stored apart from the dataset.

IAPP research (2024) found that only 23% of tools support true reversibility. Most do one-way masking or full replacement. Once a record is overwritten, it is gone.

Some government teams split their work by compartment. One team gets the pseudonymized files. They do the analysis. A second team holds the lookup token. They re-identify records only when the law requires it. This split design is the only safe approach for multi-team classified workflows.

The zero-knowledge model goes one step more. The lookup token is created on the client device. It is never sent out. If the vendor is subpoenaed, they cannot hand over the token. They never had it. This satisfies chain-of-custody rules in many classified environments.

EDPB Token Separation

EDPB Guidelines 05/2022 say the pseudonymization token must be held apart. It must not sit with the same party that holds the pseudonymized records. Or it must be locked behind controls that stop that party from reading both records and token at once.

Three things together meet this rule:

  • Token created on the client device — never sent out
  • All processing done locally — nothing leaves the air-gapped site
  • Output and token exported separately — two separate files, two separate paths

This design meets the EDPB rule and the air-gap constraint at the same time.

For the full picture, our security overview shows how local processing cuts the third-party chain. Our compliance guide covers GDPR transfer rules. See our FAQ for setup help.

The anonym.legal Desktop App runs all PII detection on the local device. No internet is needed after install. It supports Windows, macOS, and Linux. Bundled NLP models cover all 48 supported languages.

Updated for 2026

Sources

Ready to protect your data?

Start anonymizing PII with 285+ entity types across 48 languages.

About this page

We update this page when our platform or the law changes.

Read our founder note for how we work.

Each change shows up in the timestamp at the top.

Related reading

We follow these rules

  • GDPR (EU 2016/679).
  • ISO/IEC 27001:2022.
  • NIS2 (EU 2022/2555).
  • HIPAA safe harbor under 45 CFR § 164.514(b)(2).

Our promise

We do not sell your data.

We do not train models on your text.

We store your files in Germany.

You can delete your account at any time.

You own your work.

Where we run

Our servers live in Falkenstein, Germany.

We use Hetzner. They hold ISO 27001 certification.

All data stays in the EU.

Backups run every day.

Need help?

Email support@anonym.legal.

We reply within one business day.

How we test

We run a full check suite on every release.

Each surface gets its own sweep script and report.

Human reviewers spot-check the output each week.

We track recall and precision on a labelled set.

Bad runs block the deploy.

What we never do

  • We never sell your information to third parties.
  • We never train models on what you upload.
  • We never keep your work after you delete it.
  • We never share keys with any outside firm.
  • We never run ads inside the product.

Plans in plain words

We sell credits, not seats.

One credit covers one short job.

Long jobs use a few credits each.

You can top up at any time.

Unused credits roll over each month.

Read the plans page for current rates.

Who built this

A small team of engineers and lawyers built this.

We ship from Europe and work in the open.

Our founder note spells out why we started.

Where to start

How the parts fit

A browser add-on cleans text inside Chrome.

A Word plug-in handles drafts in Office.

A small desktop tool works on whole folders.

An agent protocol link feeds large models safely.

All four share one core engine and one rule set.

Words from our team

We started this work after a lunch about cookies.

One friend kept getting odd ads on her phone.

We asked why a court file leaked through a draft.

We sketched the first build on a napkin that week.

By month three we had a tiny demo for a friend.

She used it on her first case the next day.

Common questions we hear

Can the tool read scanned PDFs? Yes, with OCR.

Does it work on long files? Yes, in small chunks.

Can I roll my own rule set? Yes, save it as a preset.

Does it run offline? The desktop build runs offline.

Do you keep my files? No, the cloud build wipes after each run.

Will it learn from my work? No, we never train on inputs.

A short tour of the workflow

Upload a file or paste a snippet of prose.

Pick the entities you want gone from the draft.

Choose a method: replace, mask, hash, encrypt, or redact.

Press run and watch the side panel show each hit.

Skim the result and tweak any rule that misfired.

Save the cleaned file or send it to a teammate.