anonym.legal

By · Last updated 2026-06-05

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Khachkhumb-platformayin PII. Mac, Linux ev Windows

Anddznagtsutyyan bashtonayagnery Mac-um, iravabannery Windows-um, tvylayin ingeniernerev Linux-um — bolor mshakum en nuyniranun tvylner tarber gortsiqnerov: OS-ankhtnami haytnaberutyuny a pastakhosum:

June 5, 20266 րոպե կարդալ
cross-platformMac Linux GDPRenterprise ITOS agnosticcompliance consistency

Khachkhumb-platformayin PII. Mac, Linux ev Windows

Anddznagtsutyyan bashtonayagnery Mac-um: Iravakan teamner Windows-um: Tvylayin ingeniernerev Linux-um: Mek hamapataskhan pataxmanutyun:

PII gortsiqneri metsavor masny kargyatsvel e mek platform-i hamar: Sa e khndhirn:

OS-i Bshikin Gakhtnayinutyan Teamnerum

Korportativ andznagtsutyyan teamner betsakan kerpov mek gortsolohal system en ogtagortsum: Bnorosh global texnologiakayin enkeretyun asek e nayevum e:

  • Anddznagtsutyyan bashtonayagnery ev DPO-nery: macOS (sharev ԱՄՆ-i ev Medzoghbrtaniay enkeretyunnerer)
  • Iravakan ev hamapataskhanakan vishakabannery: Windows (europakayin korportativ kancherkagir)
  • Tvylayin ingeniernerev ev DevOps: Linux (texnik paymanerots kancherkagir)

Ereq OS shabakirhner: Ereq team-i gortaruyty: Mek kazmakerpakayin pataxmanutyun. Mshakec andzin tvylner hamadzaynak texnik karchiqnerov:

Yerb amen khump ogtagortsum e gortsiqneri tarber tarberaqin — kaam tarber interface — karchiqnery nuyninanunnery chyen: Nrank miakay aynpes karjnakam en:

Inchu Mek-platformayin Gortsiqner Vtagavorutyun en Stegcum

PII gortsiqneri metsavor masny deploy e kanum mek OS-i hamar desktop app ev: Mac ev Linux ogtvorgnery web fallback en stanum, kaam votch mi:

Sa kharjum e audit-nerum karevur bshikmasutyun: Aha inch e patahume, yerp web app-y lag anum e desktop-ic:

NLP modeli tarberaqinnery tarbervoum en: Desktop-i karqavorutyan karojn e aveli nvtiv NLP model e stum, quich web app-ic: Aveli hin modeli tarberaqinnery karojn en entity type-ner bac thaknel, vor nvtivnery en brnvum:

Tharmakvuman perioday tarbervoum e: Khumbovneri karavarchman karp deploy kanel karojn e erku kaam ereq tarberaqin andn:

Konfiguracia chi synchronized linel: Gortsiqner, vor OS registry-um en parahum parametrnery, ayd parametrnery Mac kaam Linux ogtvorgneri het karojn en kiskanel: Mek platforma steghtsvats preset-y karojn e anhistanali linel mek alyum:

Biblioteki varkelly tarbervoum e: Gortsiqner, vor hanvum en OS-akayin bibliotekner PDF parsing kaam OCR-i hamar, karojn en tarber arjunqner tal tarber platformnerum — nuynisk nuyniranun skzbnayyin pastarakutyunits:

Ayd bshikneri vochmeki nshanakem e nuyniranun pastarak karojn e tarber anuniatsutyyan arjunq tal: Patcharakn e tvylnery chi: Sa platformn e:

GDPR technical measure requirements inchpes kanonakargery en gnohatum e hamadzaynakanutyan miaynutyuny:

GDPR Article 5(2) ev Hamakargayin Mizhontsaraknery

GDPR Article 5(2) hashtabanutyan kancherkagiry e: Sa paytum e, vor karchavoraguysnery karjogen apatsuyts berer Article 5(1) tvylneri pashtvumutyan kancherkagirerov hamapataskhanashmans: Article 32-i texnik mizhontsaraknerots hamar, sa nshanakem e, vor mizhontsarakner kironvum en hamakargayin kerpov:

Hamakargayin nshanakem e hamadzaynak: Ete anuniachutyuny tarbervoum e kakhvac andzki OS-i artahaytutyamb, mizhontsarakn e karboxandvec — ko hamakargayin:

DPA hetaqotutyyan mej, "Menq Gortsiq X-y ek ogtagortsel, bayts nra varkelly tarbervoum e Mac-um ev desktop tarberaqini vra, ev pastarak mshakvel e Mac-um" bavan badaskhan chi: Sa cha tarber kachutyan kochume e:

OS-ankhtnami dizayn naxntutyan chi: Sa bxvum e hamakargayin karchumi pahanjqits:

Erku Karap OS-Ankhtnami Hamapataskhanashmani Hamar

Iskakan OS-ankhtnami PII hamapataskhanashmany hamapataskhanakane erku arxiteqtourayin karapovi:

Karap 1: Web application

Haytnaberutyuny gocanume e serveri vra: Client OS-y anhitaki e: Amen ogtvor nuyniranun sharzhich e haykum nuyninanun modelneri ev nuyniranun konfiguratsiei:

Saxmanafakum: Internieti mxerhumutyan petaq e: Air-gap shabakirhnery chi karojn ogtagortsel:

Karap 2: Nativ khachkhumb-platformayin desktop app

Desktop app, karqvel khachkhumb-platformayin runtime-i vra (ayspisak Tauri kaam Electron), mtahum e nuyninanun kodery bolor ereq platformneri hamar: Nuyninanun NLP modelnery zbarkoum en amen karqvatsqin mej: Konfiguracia sync e katagrum hesapi kareqin, ko teghayin OS pahestqov:

Sa bavararel e offline ev air-gap pahanjqnery: Haytnaberutyuny hamadzaynak e bolorum platfordrum:

Anonym.legal Desktop App-y ogtagortsum e Tauri/Rust framework-y: Nuyninanun kody mtahenum e Windows-i hamar (x64/ARM64), macOS-i hamar (Intel/Apple Silicon/Universal) ev Linux-i hamar (x64): NLP modelnery ev haytnaberutyyan sharzhichy imanayin en amen karqvatsqnum: OS-y mtadz chi:

Qeysi Urnak: 12 Mardanik Andznagtsutyyan Team

Global texnologiakayin enkeretyuni 12 mardanik andznagtsutyyan team-y ashkhatets ereq OS shabakirhnerum:

  • 4 andznagtsutyyan bashtonayagnery ev DPO-nery: macOS (MacBook Pro)
  • 5 iravakan ev hamapataskhanakan vishakabannery: Windows (Surface Pro)
  • 3 tvylayin ingeniernerev: Linux (Ubuntu workstations)

Nrents nahtkin PII gortsiqy mek platformi desktop app er mek OS-i hamar: Mac ev Linux ogtvorgnery kaytarvum en vacharnori web app-i: Ayd nranten hin tarberaqin er, vor pachvats entity type-ner uner:

Hamapataskhanakan bshikin lusor er: DPO Mac-um 180 entity type e haytnaberum: Iravabannery desktop app-um haytnaberum en 267: Ingeniernerev Linux-um hamapataskhaneli e web app-in 180-ov: Sa 87-entity bshik e DPO-i koyikits mshakats pastakarneri hamar:

Khachkhumb-platformayin desktop app-i vra angamav heto:

  • Nuyninanun programanavir deploy arves bolor 12 mashinneri vra
  • Imanayin NLP modelnery ev haytnaberutyyan sharzhichy amen mashinove
  • Mek "Privacy Standard" preset sync arves bolor hesapnerov
  • Mek audit trail bolor 12 ogtvorgneric hamapataskhanakan sistemay mej

DPA audit-y 6 amsits heto ekav: Team-y apacuyts berets imanayin entity kaprotutyun bolor 12 hesapneri hamar, anhanrak OS-ic: Tesutyn verjatsav:

audit trail and documentation features aveli karatsum en:

Inch Staougel Gortsiq Entrel Nakafin

Bazmos-team hamar PII gortsiq gnahatakelits, hartsnum es ayd hartsery:

Bolor platformneri tarberaqinnery ogtagortsum en nuyninanun NLP modele? Ete Mac ev Linux karqvatsqnery lag anum en, hamadzaynak khndir unis:

Inchpes e konfiguratsian pahvum ev kiskakum? Registry-i hivand pahvumutyan mij chi sync anelu khachkhumb platformnerum:

Tharmakvumani periodakanutyan nuyninanun en bolor platformneri hamar? Bacvar ishkhikhumnery tarberaqini bshikner en stegcum:

Inch e fallback-y ochi-desktop ogtvorgneri hamar? Ete vorevi hin web app e, kaprotutyun imanayin chi:

Gortsiq, vor ayd hartserin lav badaskhanetsum e, nuyninanun haytnaberutyyan arjunq tan e nuyninanun skzbnayyin tvyalneri vra OS-ic: Sava hay, inha hamakargayin karchume nayum e:

Aghbyurnner

Հոդվածներ, որոնք կապված են

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Cross-Application PII: Word, Chrome, and AI

Customer data flows from browser research to Word drafts to Claude prompts. Each context switch is a potential leakage point.

Տեխնիկական

GDPR in App Logs: JSON PII Compliance

Application logs contain customer email addresses, IPs, and account numbers that GDPR Article 5(1)(e) requires be managed.

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GDPR Log Anonymization: Keep Debugging

Application logs silently accumulate user emails, IPs, and account numbers. Here's how to share logs with third parties, contractors, and observability.

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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.