Maoni ya Faragha ya Data

Makala za kitaalamu kuhusu usalama wa AI, ufuatiliaji wa GDPR, ulinzi wa data za afya, na mbinu bora za uanonymishaji wa PII.

Makala Zote

Usalama wa AI

Piga na Sahau: Kwa Nini Kuonyesha kwa Mwanga Kunashinda Mafunzo ya Uzingatifu

62% ya wafanyakazi wanaotumia zana za AI kwa data ya wateja 'wakati mwingine' husahau kuondoa PII kwanza. Hapa kuna kwa nini kuonyesha kwa mwanga kiotomatiki kunaondoa pengo la uzingatifu.

March 6, 20267 dakika
Teknolojia ya Kisheria

Mtego wa Kufuta PDF: Data Iliyowazi

Faili za DOJ Epstein, kesi ya Manafort, na uvujaji wa NSA zote zinashiriki kushindwa kwa kufuta kwa njia ya kuremba tu — huku maandishi ya msingi yakibaki yanayoweza kuokoliwa.

March 6, 20268 dakika
Kitaalamu

Mgawanyiko wa Muundo wa Hati katika Zana za PII

Jibu moja la DSAR linaweza kujumuisha mikataba ya Word, ankara za PDF, orodha za wateja wa Excel, na maudhui ya CSV. Kutumia zana tofauti kwa kila muundo kunasababisha pengo la uthabiti ambalo linaweza kufichuliwa na ukaguzi wa DPA.

March 6, 20267 dakika
GDPR & Ufuatiliaji

PII ya Excel: Futa Safu Mia Kadhaa

Excel ni miongoni mwa aina za hati zenye PII nyingi zaidi katika shughuli za biashara. Hapa kuna sababu uchanganuzi wa kawaida wa maandishi unashindwa kwenye lahajedwali na jinsi uchanganuzi wa muktadha wa safu unavyotatua tatizo.

March 6, 20268 dakika
Kitaalamu

Kufuta Kumbukumbu za GDPR: Endelea na Utatuzi

Kumbukumbu za programu hukusanya kwa kimya barua pepe za watumiaji, IP, na nambari za akaunti. Hapa kuna jinsi ya kushiriki kumbukumbu na wahusika wa tatu, wakandarasi, na majukwaa ya uangalizi bila kuvunja GDPR.

March 6, 20267 dakika
GDPR & Ufuatiliaji

PII ya Maandishi Huru ya CSV: Zaidi ya Kufuta Safu

CSV za uchunguzi zina PII si tu katika safu zilizopangwa bali pia katika majibu ya maandishi huru. Kufuta safu za kawaida kunakosa PII inayovunja kanuni ya Rekebisho la 26 la GDPR ya kutopatikana.

March 6, 20267 dakika
Teknolojia ya Kisheria

E-Discovery ya Miundo Mchanganyiko: Pengo la Uzingatiaji

Uzalishaji wa e-discovery na DSAR za GDPR unajumuisha PDF, hati za Word, Excel, na maudhui ya JSON. Kutumia zana tofauti kwa kila muundo husababisha mapengo ya uthabiti ambayo yanaweza kudhoofisha uzingatiaji wako.

March 6, 20267 dakika
Kitaalamu

GDPR katika Kumbukumbu za Programu: Uzingatiaji wa PII ya JSON

Kumbukumbu za programu zina anwani za barua pepe za wateja, IP, na nambari za akaunti ambazo Kifungu cha 5(1)(e) cha GDPR kinahitaji kusimamia. Hapa kuna jinsi ya kufanya timu za uhandisi zikidhi kanuni bila kuathiri utatuzi.

March 6, 20266 dakika
GDPR & Ufuatiliaji

Hati za Zamani Zilizoskanishwa na GDPR: OCR na PII

Haki ya GDPR ya kufuta data inayohusu data ya kibinafsi 'bila kujali muundo.' Faili za PDF zinazotegemea picha kutoka kwa kumbukumbu za karatasi haziko nje ya wigo.

March 6, 20267 dakika
Usalama wa AI

PII za Picha za Skrini: Uvujaji katika Zana za Ndani

Slack, Teams, Jira, na barua pepe mara kwa mara hupokea picha za skrini zenye PII za wateja. Ukiukaji huu wa udhibiti wa ufikiaji unapita zana zote za DLP.

March 6, 20266 dakika
Huduma za Afya

OCR ya Fomu Zilizoandikwa kwa Mkono na Ugunduzi wa PII

Hospitali ya ukubwa wa kati inachakata fomu 50,000 za ulizaji wa habari zilizoandikwa kwa mkono kwa mwaka. Kukatia PII kwa mkono kwa wingi huu kunahitaji FTE 0.5.

March 6, 20267 dakika
GDPR & Ufuatiliaji

PII ya Utafiti: Picha za Skrini na GDPR

Makala ya kitaaluma mara kwa mara yanajumuisha DataFrames za pandas na matokeo ya R yanayoonyesha kumbukumbu za wagonjwa halisi kama mifano ya mbinu. Hii ndiyo sababu hii ni ukiukaji wa GDPR.

March 6, 20267 dakika
Usalama wa AI

PII ya Wiki ya Ndani: Data ya Wateja wa Confluence

Timu za msaada huandika michakato kwa picha za skrini za akaunti za wateja. Kwa miaka 3, hiyo ni makiuka maelfu ya data minimization ya GDPR katika wiki yako.

March 6, 20266 dakika
Usalama wa AI

Wasaidizi wa Kuandika Msimbo wa AI Wanavuja PII za Uzalishaji

Faili za majaribio zenye kumbukumbu za kweli za wateja. Faili za kumbukumbu zenye data za uzalishaji kwa utatuzi wa matatizo. GitHub ilibaini siri milioni 39 zilizovuja mwaka 2024.

March 6, 20268 dakika
GDPR & Ufuatiliaji

Mgawanyiko wa Zana za PII Unashindwa Ukaguzi wa Uzingativu

Zana nne tofauti kwa mtiririko wa kazi nne tofauti inamaanisha seti nne tofauti za ufunikaji wa viumbe na mkondo nne tofauti wa ukaguzi.

March 6, 20267 dakika
Kitaalamu

PII Katika Programu Nyingi: Word, Chrome, na AI

Data ya wateja husogea kutoka utafiti wa kivinjari hadi rasimu za Word hadi maombi ya Claude. Kila ubadilishaji wa muktadha ni hatari ya uvujaji.

March 6, 20266 dakika
GDPR & Ufuatiliaji

GDPR, CCPA, na PDPA katika Zana Moja

Wafanyakazi wa EU chini ya GDPR, wafanyakazi wa Marekani wanaoshughulikia data ya CCPA, wafanyakazi wa APAC chini ya PDPA. Mamlaka tatu, timu moja iliyosambazwa.

March 6, 20268 dakika
GDPR & Ufuatiliaji

Kushindwa Ukaguzi wa GDPR: Zana za PII Zilizogawanyika

Mkaguzi wako anauliza kuhusu vidhibiti vya utambuzi wa PII. 'Tunatumia zana tano tofauti' si jibu wanalotaka. Hapa kwa nini uthabiti wa njia mbalimbali ni muhimu.

March 6, 20266 dakika
GDPR & Ufuatiliaji

Kazi ya Mbali na GDPR: Kutofanana kwa Jukwaa

Timu za ofisini zinatumia programu ya mezani yenye vipengele kamili. Wafanyakazi wa mbali wanatumia programu za wavuti zenye mipangilio inayowezekana tofauti. Mahakama ya EU inasema sera peke yake haitoshi.

March 6, 20266 dakika
Kitaalamu

PII ya Njia Mbalimbali: Mac, Linux, na Windows

Maafisa wa faragha kwenye Mac, kisheria kwenye Windows, wahandisi wa data kwenye Linux — wote wakisindika data sawa na zana tofauti. Hapa kwa nini utambuzi usio tegemezi kwa OS ni muhimu.

March 6, 20266 dakika
GDPR & Ufuatiliaji

BfDI Ujerumani: Mwongozo wa Utiifu wa DPA

Ujerumani iliwasilisha arifa 27,829 za ukiukwaji wa GDPR mwaka 2024 — zaidi ya nchi nyingine yoyote ya EU. Hapa maana ya mwelekeo wa utekelezaji wa BfDI kwa PII ya kiufundi.

March 6, 20268 dakika
GDPR & Ufuatiliaji

CNIL Ufaransa: Utiifu wa Kiufundi wa GDPR

CNIL ilishughulikia malalamiko 16,433 mwaka 2023 na ilitoa faini za €150M+ tangu 2019. Mwongozo wake wa AI unaamrisha kutokujulikana kwa hati kwa data ya mafunzo.

March 6, 20267 dakika
GDPR & Ufuatiliaji

ICO UK: Tofauti za GDPR Baada ya Brexit

ICO ilimuadhibu LastPass faini ya £1.2M kwa usimbaji fiche usiotosha mnamo Desemba 2025. Uamuzi huu unaweka usimbaji fiche wa upande wa mteja kama sharti la kisheria.

March 6, 20267 dakika
GDPR & Ufuatiliaji

Garante Italia: Mwongozo wa Utiifu wa AI na PII

Garante ya Italia ilimuadhibu OpenAI faini ya €15M mnamo Desemba 2024 na kupiga marufuku ChatGPT kwa muda mwaka 2023. Huu ndio kinachohitajika na msimamizi mkali zaidi wa AI nchini Italia.

March 6, 20267 dakika

Anza Kulinda Data Yako Leo

Aina 267+, lugha 48, usalama wa kiwango cha biashara kwa bei za kuanzisha.

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.

We follow these rules

  • GDPR (EU 2016/679).
  • ISO/IEC 27001:2022, held by our hosting provider.
  • 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 company HQ is in Saarbrücken, Germany. Our servers run in Hetzner's Falkenstein datacenter.

Hetzner holds 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

Automated checks run on every release.

Each surface gets its own sweep script and report.

Human reviewers spot-check the output each week.

We test detection against sample documents before each release.

A failing unit or integration run stops the release.

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.

Paid plans can buy top-up credits.

Credits reset at the end of each cycle.

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.