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Preslikava zetonov za delovne tokove UI v skladu z GDPR

Ko so imena strank anonimizirana pred obdelavo z UI, odgovor UI vsebuje anonimizovane zetone. Koncni odgovor mora vsebovati prava imena - ne zetone.

April 25, 20268 min branja
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Preslikava zetonov za delovne tokove UI v skladu z GDPR

Posodobljeno za leto 2026

Vasa ekipa uporablja UI za pripravo odgovorov strankam. Stranka napiše sporocilo. Njeno ime je anonimiziran, preden ga vidi UI. UI pripravi odgovor z nadomestnim simbolom. Agent ga mora rocene zamenjati. Pri 200 interakcijah na dan se ti stroski hitro sesejejo.

Preslikava zetonov na podlagi seje resi to. Samodejno obnovi prava imena.

Problem brez preslikave zetonov

Korak anonimizacije ustvari zeton. "Maria Schmidt" postane [CUSTOMER_1]. Claude pripravi: "Spostvana [CUSTOMER_1], opravicujemo se za zamudo."

Procesnik zahtevkov mora zdaj zamenjati [CUSTOMER_1] z "Maria Schmidt" pred posiljanjem. V velikem obsegu ta korak unicitki namen pomoci UI. Je ponavljajoco se delo, ki ne izgine.

Kako delujejo seje zetonov

Seja shrani iskalno tabelo: [CUSTOMER_1] -> "Maria Schmidt." Ko Claude vrne osnutek, plast samodejnega desifriranja prebere to tabelo in obnovi ime. Agent vidi "Spostvana Maria Schmidt" - ze pravilno. Ni potreben roken korak. Zascita GDPR poteka tiho.

Zakaj je doslednost seje pomembna

Tabela zetonov mora biti dosledna v celotni seji. Ce se "Maria Schmidt" pojavi v prvotni pritoznbi in spet v nadaljnjem sporocilu, se morata oba razresiti kot [CUSTOMER_1]. Brez tega Claude morda obravnava kot dve razlicni osebi. Njen odgovor postane nekoheren.

Ena oseba dobi en zeton na sejo. Claude potem pravilno razlaga pogovor.

Skladnost z GDPR ze v zasnovi

Clen GDPR 4(5) definira psevdonimizacijo kot tehniko zmanjsevanja tveganj. Smernice EDPB iz leta 2022 zahtevajo eno stvar: kljuc mora biti shranjen loceno od psevdonimiziranih podatkov.

Tabele zetonov na podlagi seje izpolnjujejo to pravilo. Iskanje ostane v brskalniku. Nikoli ne gre do Clauda. Ko seja konca, izginejo. Do zunanjih streznikov ne dosezenoben osebni podatek. Vprasanje prenosa po Clenu 46 ne nastane.

Zahtevki zavarovanj: Konkreten primer

Nemski zavarovalec obdeluje pritoznbena e-postajna sporocila strank. Vsako e-postno sporocilo vsebuje ime, stevilko police in znesek zahtevka.

Pred obdelavo z UI razsiritev Chrome ali streznik MCP anonimizira vsa tri polja. Claude vidi [CUSTOMER_1], [POLICY_2024-08847] in [AMOUNT_1]. Pripravi odgovor s tistimi zetoni.

Plast samodejnega desifriranja nato obnovi vsa tri polja. Procesnik zahtevkov v osnutku vidi pravo ime in stevilko police. Pregleda in poslje. Nobene zamenjave nadomestnih simbolov ni potrebno.

Izid GDPR: podatki, poslani na streznik Claude v ZDA, niso vsebovali osebnih podatkov. Pravo ime stranke in stevilka police sta ostali v Nemciji na brskalniku procesnika.

Kaj zahteva celotna zanka

Tri komponente morajo delovati skupaj za nemoten potek dela:

1. Dosledni zetoni. Vsaka entiteta dobi en zeton na sejo. Vsakic isti.

2. Lokalna iskalna tabela. Zivi v seji. Se ne poslje UI.

3. Samodejno desifriranje na izhodu. Tabela se uporabi za osnutek UI, preden ga vidi agent.

Brez vsega treh agenti zamenjujejo zetone rocno. Z vsemi tremi potek dela tece sam in ostane v skladu z GDPR.

Zakljucek

Ta pristop zapre zanko pri delu s strankami s pomocjo UI. Anonimizacija zciti podatke, preden dosezejo UI. Samodejno desifriranje vrne prava imena v odgovor. Agenti vidijo pravilna imena na vsakem koraku. Skladnost z GDPR ostane skozi cel postopek.

Viri

Ste pripravljeni zaščititi svoje podatke?

Začnite z anonimizacijo PII z več kot 285 tipi entitet v 48 jezikih.

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.