By · Last updated 2026-04-16

Rudi kwa BlogUsalama wa AI

Baada ya Tukio la Nyongeza yenye Watumiaji 900K

Mnamo Januari 2026, nyongeza mbili za Chrome zenye nia mbaya zilizosakinishwa na watumiaji 900,000+ zilipitisha mazungumzo yote ya ChatGPT na DeepSeek kila dakika 30.

April 16, 20268 dakika kusoma
malicious Chrome extensionAI extension security auditextension trust verificationlocal processing architecture900K extension incident

Tukio la Januari 2026

Imesasishwa kwa 2026. Mnamo Januari 2026, nyongeza mbili mbaya za Chrome ziligunduliwa zikiwa na watumiaji 900,000+.

Majina yao yalionekana kama zana halisi za AI:

  • "Chat GPT for Chrome with GPT-5, Claude Sonnet and DeepSeek AI" -- watumiaji 600,000+
  • "AI Sidebar with Deepseek, ChatGPT, Claude and more" -- watumiaji 300,000+

Zote mbili zilifanya jambo moja. Kila dakika 30, zilipitisha mazungumzo yote ya AI kwenye seva ya mbali. Data iliyoibiwa ilijumuisha msimbo, maelezo ya kibinafsi, maelezo ya kisheria, na mipango ya biashara. Astrix Security ilithibitisha hili.

Nyongeza hizi ziliomba "kukusanya data ya uchambuzi yasiyoweza kutambuliwa na ya siri." Maneno hayo yanasikika salama. Hayakuwa. Data iliyokusanywa ilikuwa inaweza kutambuliwa kikamilifu na nyeti sana.

Tatizo la Ugeuzaji wa Usalama

Watumiaji wanaosakinisha zana za faragha za AI wanataka ulinzi. Kesi ya Januari 2026 inaonyesha matokeo mabaya zaidi: zana uliyosakinisha kwa ajili ya faragha ndiyo inayoiba data yako.

Hii si nadharia. Ilitokea kwa watumiaji 900,000 kwa wakati mmoja. Uchunguzi wa Chrome Web Store haukuigundua. Maoni ya watumiaji hayakuifunua. Wizi ulifichwa kama "uchambuzi."

Incogni iligundua kwamba asilimia 67 ya nyongeza za AI za Chrome zinakusanya kikamilifu data ya mtumiaji. Kwa timu za IT, swali kuu si "je, hii inakusanya data yoyote?" Ni: "je, ninaweza kuthibitisha kwamba nyongeza hii haiwezi kutuma maudhui ya mazungumzo kwa upande wa tatu?"

Jaribio la Uthibitishaji wa Usanifu

Kuna ukaguzi mmoja wa kuaminika wa usindikaji wa ndani: ufuatiliaji wa mtandao.

Nyongeza inayogundua PII ndani ya nchi hutoa trafiki sifuri inayotoka nje wakati wa ugunduzaji. Hakuna muunganisho na seva yoyote ya nje unaopaswa kuonekana kati ya kubandika kwa mtumiaji na uwasilishaji wa jukwaa la AI. Msururu ulioshughulikiwa peke yake unatoka nje.

Nyongeza inayopitisha trafiki kupitia proksi inatuma maudhui yako kwenye seva ya upande wa tatu. Mwendeshaji wa seva hiyo sasa yuko ndani ya mfano wako wa tishio.

Hatua za uthibitishaji za IT ni rahisi:

  1. Sakinisha nyongeza kwenye mtandao unaofuatiliwa
  2. Endesha maswali ya majaribio
  3. Angalia muunganisho unaotoka nje kwenye seva za mchapishaji wakati wa usindikaji wa PII

Ikishindwa jaribio hili, usiidhinishe. Madai ya masoko hayafai. Trafiki ya mtandao ndiyo uthibitisho.

Usindikaji wa ndani unaweza kuaminiwa kwa sababu unaweza kuthibitishwa. Huhitaji kumwamini mchapishaji. Unaweza kuangalia tabia moja kwa moja. Angalia jinsi anonym.legal unavyoshughulikia hili katika muhtasari wa usalama wa nyongeza ya Chrome na mwongozo wa uzingatiaji.

Mahitaji ya Timu za IT

Baada ya Januari 2026, kiwango cha zana za AI za kivinjari lazima kiwe cha juu zaidi.

Orodha ya chini kabisa:

  • Usindikaji wa ndani -- uliothibitishwa na ukaguzi wa mtandao, si tu kudaiwa
  • Mchapishaji anayejulikana -- kampuni halisi, mfano wa biashara wazi
  • Cheti huru -- ISO 27001 au sawa nalo
  • Hakuna uelekezaji wa seva ya msanidi programu kwa vipengele vya msingi vya faragha

Nyongeza nyingi za AI za kivinjari hazitapita orodha hii. Kiwango cha ukusanyaji wa asilimia 67 kinafanya hivyo wazi. Idadi ya juu ya usakinishaji si ishara ya usalama. Zana za Januari 2026 zilikuwa na mamia ya maelfu ya watumiaji kabla ya mtu yeyote kuangalia.

Kwa maelezo zaidi kuhusu zana salama za AI za kivinjari, angalia ukurasa wetu wa usalama na uzingatiaji.

Vyanzo

Tayari kulinda data yako?

Anza kuanonymisha PII na aina 285+ za vitu katika lugha 48.

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.