anonym.legal

By · Last updated 2026-04-07

Վերադառնալ բլոգինԻրավաբանական տեխնոլոգիա

Excel yev GDPR. Aghyousaki Tvyali Riskery

GDPR Moutki Iravounki Hastsoomaghakannery 180%-ov aveleyl en 2021-its 2024 (EDPB): Mijn DSAR-i mukhately 12 jham e dzernov: HR batjeramashery karavoum en:

April 7, 20268 րոպե կարդալ
Excel GDPR anonymizationspreadsheet redactionDSAR processingEDPB right of accessHR data compliance

Excel-GDPR-i Bacy

PDF ardzoum argeloomi gortsikner-n ashkhatum chen Excel faileri vra: Sa stvooum e hamapataskhoutyan bats: Entserapetakan paravirovneroum ayn azdumoum e amenayor HR, finansakan yev gortsarkoutyan timneri vra:

GDPR Moutki Iravounki Hastsoomaghakannery aveleyl en 180%-ov 2021-its 2024 (EDPB Tarekanol Zpekagir): Yerp DSAR-n e haraghanoum, peti e kazoom dimumchi andznakin tvyaln: Nayev peti e pashtrpanel nooyn failoum mekhbanner-i bolor myanali tvyaln: Konaket sharqeri ardyarakoutyounn bavar che: Myanali grasernery mnum en tesaneli: Hamapataskhan DSAR-i hamapataskhoutyan nshanakooum e ananounovooum e bolor voch-dimumchi tvyaln:

Mijn DSAR-n dzernov mukhatelou 12 jham e: 200 DSAR-i dempoom amsoum da 2,400 andznakazmeri oger e: Dzernov mukhately masshtab chi gali:

Inch e Excel Ananounatsman-n Peti e Tsatsel

Aghyousakt-nery ounin khndirner, vor tekst gortsikner-n kargvats chen mushakel:

Thevats shaher ev skhdery: Excel failery hachakh thevooum en shaher ev skhdery: Sarank karoghin patounakel nakhnarakeghner kam nakhkarin arazheknery: Gortsik-n, vor kardooum e miayn tesaneli batkyanner, bad e thognoom PII-n thevats berranneroom:

Formula hastsoomaghakanner: Berany karaghni tsuyts tal arazhek, kazoom e myanal bakherits: Artyanik beranner maqrely chi ardyounaberoum formula-i ardyounky: Nakhkarin PII-n mnum e formula-i ardyounkoum:

Pivot aghyousaki cache: Excel pivot aghyousakt-nery pahooum en artyanik tvyalneri orinaky: Artyanik baji maqrely chi maqrooum cache-n: Ov el fayln ounena karogi e kardal cached tvyaln:

Cross-sail kazmoumnery: Sail 1-i anuny karogi e hartsnaker Sail 3-i formula-oum: Sail 1-n maqrel aranc Sail 3-n lratsnoum e artyanik arazhekn formula-i mijyev mnalits:

Hamapataskhan-grade gortsik-n peti e mukhatel bolor bayler — enchdarklots thevatsnerov — yev dzernazerel bolor formula hastsoomaghakanner:

HR Pagoutyoun. 50,000 Ashkhatoghoutyan Khardery Kazooum

Mek Germanakayin artyad artyadartoum peti e kazoom 50,000 ashkhatoghoutyan verk khatsoum khorsrdin: GDPR Art. 28-n teknikakan verahskoutyounner e patahroom yetevo tvyal kavorashkharem e kazoom: Fail-n ounei 37 skhed: Anunner, tnayin hastseagrer, askhatavartsner, gnahatakanner yev bzhishkayin barjartsoutyan tvyaler:

50,000 sharin dzernov ananounatsman-n hamapataskhoutyan orevnum haramarekav che:

Word yev Excel Add-in-n ashkhatum e Microsoft Excel-oum — artiaksoumn chi patahvooum: PII haytnaberoutyounn martkoum e bolor tesaneli yev thevats bayerit: Anunnery dardoonum en hastatoun pseudonymner: Nooyn anuny erkoo bayroum stanoum e nooyn token: Analitik kazmoumnery mnum en: Hastseagrer dartsvooum en tip-hasnvats plateholders: Askhatavartsner-n mnum en ankhokhapetsvats: Bolor 50,000 verk amboghjoum en minoutneri khatoom:

Mek-mek kazmakarankayin kanonnery tvoum en kazooum yuraqanchi tvyli tesakny ancelape: SSN-nery dartsvoom en maskavouvats gaghtateger: Hastseagrer dartsvooum en kaghak-makaradiroum arazheknery: Andznavori e-postayin hastseagrer dartsvooum en rol-hasnvats plateholders:

Ays mormaborn ankap e miayn Excel-its: Amenayor fail format-n ounei ir sorovakan akhiryakin tarchakner: Tesek te inch pes format-i ambaghjakanoutyounn azdum e PII haytnaberoutyoun-n fail tiperov:

Yerreks GDPR Kanon Mek Andznakatsoomoum

Aghyousaki ananounatsman-n bavarakel e Hod. 5-i yerreks kanon-n mek andznakatsoomoum:

Tvyali nvazetman (Hod. 5(1)(c)): Miayn stakhotsy pakhtchi koghmerits shmanavoum en skhedery: Nshanogh skhedery mazooum en:

Pahpanoutyan mkhrikoutyoun (Hod. 5(1)(e)): Nakhkarin fayln pahooum e iravabanak pahpanman hamar: Mak patke karr aghqaatsvooum e aveli karr pahpanman periodoum:

Amboghjoutyoun yev gakhtnoutyan pashtrpanoutyoun (Hod. 5(1)(f)): Nshanogh tvyal dours chi linom verahskogh goten: Miayn mak patke e dours linom:

Amenayor voghji audit-i grasoutyounyavny nayev Dzer Hod. 5(2) yerts-n e: Ayn tsuyts e tal te vor kanon karoum er amenayor fayloum yev amenayor batkyanoum:

Komandaneri hamar, vor karayoom en mets DSAR hatskapoum deadline-nerov, tesek GDPR DSAR batch mukhatel masshtabov:

Albyurner

Պատրաստ եք պաշտպանելու ձեր տվյալները?

Սկսեք PII անանոնիմացնել 285+ կազմակերպության տեսակներով 48 լեզուներով:

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.