By George Curta · Last updated 2026-04-07
Imara kwa Kila Sekta
Kuanzia kwa biashara ndogo hadi makampuni makubwa, tazama jinsi mashirika katika sekta mbalimbali yanavyotumia anonym.legal kulinda data nyeti na kudumisha ufuatiliaji.
Anza Jaribio la BureUlinzi wa AI & GenAI
Stop data leaks to ChatGPT, Claude & Copilot
77% ya wafanyakazi huweka data nyeti kwenye zana za AI. GenAI sasa ndiyo njia ya kwanza ya kuhamasisha data.
Kiongezeo cha Chrome kinakamata PII kabla ya kufikia mifano ya AI. Usindikaji wa ndani. Hakuna kufichuliwa kwa data.
Kampuni
Ufuatiliaji wa GDPR na ulinzi wa data kwa kiwango
Mashirika makubwa yanashughulikia mamilioni ya hati zinazohusisha data binafsi katika idara mbalimbali.
Ugunduzi wa PII ulio katikati na kufichwa kwa taarifa kwa njia ya ukaguzi, udhibiti wa upatikanaji kulingana na majukumu, na usindikaji wa kundi.
SMB & Mifumo ya Kuanzisha
Usalama wa biashara kwa bei ya kuanzisha
94% ya SMBs zilishambuliwa mwaka 2024. Zana za biashara zinagharimu $800+/mwezi.
Aina 285+ za mashirika na lugha 48. Inaanza bure, inapanuka hadi €3/mwezi.
Wakandarasi
Mazingira ya majaribio na mipango ya CI/CD
Tim za maendeleo zinahitaji data za majaribio halisi bila kufichua PII za uzalishaji.
Ushirikiano wa API kwa kufichwa kwa taarifa kiotomatiki katika mipango ya CI/CD, ikitengeneza seti za data za majaribio salama.
Kisheria
Kufichwa kwa mikataba na utafutaji wa e
Ofisi za sheria zinapaswa kuficha taarifa nyeti kutoka kwa mikataba, hati za mahakama, na hati za utafutaji.
Kuficha kwa usahihi na njia za ukaguzi kwa ajili ya kufuata sheria na uzalishaji wa hati.
Huduma za Afya
Ulinzi wa data za wagonjwa na msaada wa HIPAA
Watoa huduma za afya wanapaswa kulinda taarifa za wagonjwa huku wakihamasisha utafiti na uchambuzi.
Kufichwa kwa taarifa kulingana na HIPAA kwa rekodi za matibabu, data za utafiti, na hati za kiutawala.
Kifedha
Ufuatiliaji wa PCI-DSS na kuzuia udanganyifu
Taasisi za kifedha zinashughulikia data nyeti za wateja zinazohitaji kufuata sheria kali.
Kufichwa kwa taarifa kulingana na sheria kwa rekodi za muamala, data za wateja, na ripoti za kisheria.
Utafiti
Kushiriki data za kitaaluma na uchapishaji
Watafiti wanahitaji kushiriki seti za data huku wakilinda faragha ya washiriki.
Kufichwa kwa jina kwa njia ya kawaida kwa seti za data za utafiti zinazowezesha ushirikiano na uchapishaji.
Serikali
Rekodi za umma na ufuatiliaji wa FOIA
Mamlaka za serikali zinapaswa kutoa rekodi za umma huku zikilinda faragha ya raia.
Kuficha kiotomatiki kwa maombi ya FOIA, rekodi za umma, na ushirikiano kati ya mashirika.
Mamlaka ya Data
Uchakataji wa data unaohifadhiwa nchini Ujerumani, ndani ya EU pekee.
Uhamishaji wa data kuvuka mipaka huweka mashirika wazi kwa US Cloud Act na faini za GDPR.
Miundombinu ya Ujerumani ya 100%, bila watoa huduma wa wingu kutoka Marekani. Uzingatiaji wa Schrems II tangu hatua ya usanifu.
Hauoni Sekta Yako?
Ugunduzi wetu wa PII na kufichwa unafanya kazi kwa sekta yoyote inayoshughulikia data binafsi. Wasiliana nasi kujadili mahitaji yako maalum.
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.