By George Curta · Last updated 2026-04-07
Zana ya Anonymization ya GDPR
Gundua na anonymize data za kibinafsi kwa kufuata Kifungu 4(5) cha GDPR. Aina zaidi ya 285 za viumbe, lugha 48, usimbuaji wa kurudiwa. Miundombinu ya EU 100%.
Nini maana ya Anonymization ya GDPR?
Anonymization ya GDPR ni mchakato wa kuondoa au kubadilisha data za kibinafsi ili zisihusishwe tena na mtu maalum, hata zinapounganishwa na taarifa nyingine. Kulingana na Kifungu 4(5) cha GDPR, data iliyofanywa kuwa ya siri inatolewa nje ya wigo wa kanuni.
Kinyume na pseudonymization (ambayo inaweza kurejeshwa), anonymization halisi haiwezi kurejeshwa. Hata hivyo, matumizi mengi yanahitaji anonymization inayoweza kurejeshwa (pseudonymization na usimbuaji) ili kudumisha matumizi ya data huku wakilinda faragha.
anonym.legal inasaidia mbinu zote mbili: uhariri wa kudumu kwa anonymization halisi, na usimbuaji wa AES-256-GCM kwa pseudonymization inayoweza kurejeshwa ambayo inakidhi mahitaji ya GDPR kwa ulinzi wa data.
Vipengele vya Anonymization ya GDPR
Kila kitu unachohitaji kwa anonymization ya data inayokidhi GDPR
Aina zaidi ya 285 za Viumbe
Gundua majina, anwani, SSN, IBAN, data za afya, na zaidi ya 275 za makundi mengine ya PII katika aina zote za data zinazohusiana na GDPR.
Lugha 48
Kufunika EU kwa ukamilifu ikiwa ni pamoja na Kijerumani, Kifaransa, Kihispania, Kitaliano, Kipolandi, na lugha zote rasmi za EU pamoja na lugha kubwa za kimataifa.
Usimbuaji wa Kurudiwa
Usimbuaji wa AES-256-GCM na usimamizi salama wa funguo. Fanya ufichuzi unapohitajika kwa maombi ya wahusika au usindikaji halali.
Miundombinu ya Ujerumani
Makazi ya data ya EU 100% kwenye Hetzner Ujerumani. Hakuna AWS, Azure, au GCP. Hakuna uwezekano wa Sheria ya Cloud ya Marekani. Uzingatiaji kamili wa Schrems II.
Programu ya Kompyuta
Shughulikia faili kwa ndani kabla ya kupakia. Usindikaji wa kundi kwa seti kubwa za hati. Inafanya kazi na Word, Excel, PDF, na zaidi.
REST API
Jumuisha anonymization ya GDPR katika mchakato wako. API rahisi yenye hati kamili. Server ya MCP kwa zana za AI.
Matumizi ya Anonymization ya GDPR
Maombi ya Wahusika wa Takwimu
Anonymize PII za wahusika wengine kabla ya kushiriki data na waombaji. Kamilisha maombi ya ufikiaji ya Kifungu 15 bila kufichua data za wengine.
Kushiriki Data za Wauzaji
Shiriki seti za data na wachakataji bila kufichua PII ghafi. Hifadhi matumizi ya data huku ukihakikisha ufuatiliaji wa GDPR.
Takwimu na Utafiti
Wezesha uchambuzi kwenye seti za data nyeti bila vizuizi vya GDPR. Anonymization halisi inatoa data kutoka kwa wigo wa kanuni.
Mafunzo ya AI/ML
Anonymize data za mafunzo kabla ya kuzipeleka kwa mifano ya AI. Zuia uvujaji wa PII kupitia matokeo ya mfano.
Kwa Nini Uchague anonym.legal kwa Anonymization ya GDPR?
| Kipengele | anonym.legal | Wengine |
|---|---|---|
| Aina za Viumbe | 285+ | 20-55 |
| Lugha | 48 | 2-10 |
| Makazi ya Takwimu ya EU | Mara nyingi msingi wa Marekani | |
| Usimbuaji wa Kurudiwa | Nadhani | |
| Bei ya Kuanzia | €3/month | $800+/month |
| Kiwango Bure | Nadhani |
Rasilimali Zinazohusiana
€4.7 Bilioni: Kwa Nini Kampuni za Marekani Zinatoza 83% ya Faini za GDPR
Uchambuzi wa kina wa mwenendo wa utekelezaji wa GDPR na jinsi ya kuepuka faini.
Uzingatiaji wa GDPR wa Biashara
Jinsi biashara zinavyotumia anonym.legal kwa ulinzi wa data za mipaka.
Uzingatiaji wa Huduma za Fedha
Uzingatiaji wa PCI DSS na GDPR kwa benki na fintech.
Maswali Yanayoulizwa Mara kwa Mara
EDPB inafanya operesheni ya kutekeleza haki ya kufuta mwaka 2025 — tunawezaje kufanya hivyo?
Hatua ya utekelezaji iliyoandaliwa ya EDPB inazingatia kama mashirika yanaweza kweli kutafuta na kufuta matukio yote ya data binafsi wakati mtu wa data anatumia haki yao ya kufuta. Kugundua PII ya anonym.legal (aina 285+ za vitu katika lugha 48) kunaweza kuchanganua hifadhi zako za data ili kubaini mahali data binafsi inapatikana, kusaidia kufuata mchakato wa kufuta kwa mfumo. Kipengele cha usimbuaji kinachoweza kurekebishwa kinasaidia kutofautisha data iliyofichwa (ambayo haiko chini ya GDPR) kutoka kwa data iliyopseudonymized (ambayo haiko).
TikTok ilitozwa faini ya EUR530M kwa kutuma data za EU kwenda China — ninawezaje kuhakikisha zana yangu ya kuficha haileti matatizo ya uhamishaji wa data?
Miundombinu yote ya anonym.legal inahifadhiwa katika vituo vya data vya Hetzner nchini Ujerumani — hakuna data inayotoka nje ya mamlaka ya EU. Tofauti na wauzaji wenye miundombinu ya seva za Marekani au Asia, hii inondoa hatari ya uhamishaji wa mipakani kabisa. Muundo wa zero-knowledge unatoa safu ya ziada: hata ndani ya miundombinu ya EU, anonym.legal haiwezi kufikia data yako katika maandiko ya wazi.
Anza Anonymization inayokidhi GDPR Leo
Tokeni 200 za bure kuanza. Hakuna kadi ya mkopo inahitajika. Miundombinu ya Ujerumani, lugha 48, aina zaidi ya 285 za viumbe.
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
- Common questions
- Glossary
- How tokens work
- Security posture
- Where we comply
- What we detect
- Case studies
- Release notes
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
- Open the web app and try a sample file.
- Learn how credits get counted.
- See current plans and limits.
- Meet the team behind the product.
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.