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Վերադառնալ բլոգինAI Անվտանգություն

AI coding assistantere mshakvarum en production PII

Unit test fixtures-ner iravakan haghordakayin granvutyunneri het: Debugging-i hamar production tvyalnerov log failner: GitHub-e 2024-in 39 million gaxtniqner ardzanagrec:

June 5, 20268 րոպե կարդալ
AI coding assistantproduction PIIdeveloper securityMCP ServerGitHub Copilot

Inchi E AI Coding Gortsiqaynere Iravakan Haghordakayin Granvutyunner Mshakarum

Dev teamnerich PII-i artsahosumneri mets merits khetumner chen: Nrank arabner khenk ashkhati:

Production tvylnere test mijavayrnere en masnum: Aysteghich nranqe AI coding gortsiqaynerin en hasnum — ev nranc vararoghnerin:

GitHub-i 2025-i hetazotutsiun e ashkharhayin hastsrel: Mshakoghnere 39 million gaxtniqner mshakarutsyin hamajkavayin reponerum 2024-in: API keys ev andznakan detalner bazhanum en: Mets merits test fixtures-ich ev debug log-erich en galis: Tesc mer anvantsavardutyunay safeguards aknark, te inchet en teamere ays rishk dimenum:

Tarmazats e 2026 t.-i hamar. AI coding gortsiqayneri ustumutyun aragnorepen e ashxarhumove: Tatanume nuynel aghetsav:

Inchet En Iravakan Granvutyuunner Dev Mshakuytnerin Masnum

Uzharneree saravorakan ev kancheteliy en:

Test fixture failner. Unit testere iravakan muts tvylner en patxandum: Areghneli uzharë artsadrutyune production-ich tarkerer ardzanagrabelutsyn e: Mshakoghe nakhatatsum e dranq "aveli oushe" entanel: Aveli ushe hachakhapes chi galis: Iravakan email-ner ev heshayin ID-ner mnatsum en desyakan commit-neri batsakan:

Debug log-ner. Skhale tareli chi kensagortsis lrjatsnel: Mshakoghe log-e kanom e kensakan hambakargich: Ay log-e haghordakayin email-ner, IP hasceanner ev sessiani token-ner uni: Failn e gnal project root-um ev commit e arardats:

Migration script-ner. Schema-i baderunere test mshakuytneri namak tarkerer en endrkelum: DBA-n iravakan tarkerer ardzanagrabelutsyn e oryapes namushot: Script-n — iravakan haghordakayin granvutyunneri het — masnum e versiai khatsakarume:

Docs ev README failner. Kchanaputyan orinakner "iravakan" muts tvylner en ogtagortsnum: Iravakan hachakhapes nshanakel e iravakan usherich artadzrayac: README ardustsanumov iravakan pahanjneri ID-ner ev heshayin hasceanner uni:

Config failner. Dev konfiguratsianere staging keys en pahakum, vor hasnum en iravakan haghordakayin tvylneruyn: Ay failnere commit en arardats bnerkum en gaxtniqneri het:

Inch En Iravakanum AI Assistantner Stanum

Erb mshakoghnere AI coding gortsiqaynner en ogtagortsnum, bazum kanaler markovikan teghekatatvutyun en uzarkum:

Amsbot fail-i kontekst. Gortsiqe karoli e ambutsh failner stvanum: Ayn engrelum e iravakan granvutyunneri test fixtures, log hayeler, kham kensakan key-neri config failner:

Clipboard-i pastaberum. Mshakoghnere code-er en pastaberum chat-um nayarkyun hamar: Shurjapatat kontekste hachakhapes haghordakayin detalner uni ir mej:

IDE indexing. Cursor-e ev GitHub Copilot-e index-avorutyun en kanom tareli failneri kontekstov: Irakan tarkererov amenayn project fail-e ay indexi mer e dasnum:

Skhali messagener. Mshakoghnere stack traces-ner en pastaberum AI chat-um debugging zhamin: Stack traces-nere karoli en haghordakayin ID-ner pahel:

Amenoyr kanal markovikan teghekatatvutyun e uzarkum AI vararoghits API-uyn: Ays GDPR ev HIPAA rishk e steghtsnum: Tesc mer hamagortsutyunay aknark, te inchez en ay kanonnere dev gortsiqayneri vra kirarum:

GDPR ev HIPAA. Himnakan Faktner Dev Teamnerum

Ay kanonnere kirarum en AI coding gortsiqayneri ogtagortsutyan vra:

GDPR Article 28 — Mshakoghe. Andznakan tekhekatatvutyune AI vararoghi uzarkume ay vararogh-in tvylneri mshakoghi dasnum e: Data Processing Agreement-e patxarenvy: Vararoghneri mets merits DPA-ner en tarakum: Mshakoghnere, vor AI gortsiqaynner en ogtagortsnum artnakan gnumich durs, karoli e ashkharhi DPA-i aret mnatsel:

GDPR Article 6 — Iravakan himq. Dev testing andznakan tekhekatatvutyun mshakelu iravakan himq e patxandum: Lawful interest karoli e kirarutsyin — bayts balancing test e petxandum: Iravakan haghordakayin tarkerer ogtagortsele, erb kakelinneri en karameli, ay testy chani:

HIPAA — BAA. Araojnutyan mshakoghnere Business Associate Agreement petke AI vararoghits uni: OpenAI, Anthropic ev GitHub Copilot-e BAA-ner en tarakum enterprise usherum hamar: Individual ogtagortsutsiun enterprise plani durs ev karo e chpatakel:

Minimizatsiun. Iravakan haghordakayin granvutyunnere test fixtures-nerum khokhum en minimizatsiun-ay kanonin: Kakelinn tarkernere ayn nuyni npatakn en tshakarutsum andznutyunay aghchi:

Mer FAQ-n engrelum e saravorakan hashvynere ay kanonneri masin:

Praktikakan Parterer Dev Teamnerum

Sksnel e ardzhan audit-ov: Mets merits teamere khndaler en gtnumay arajin zyam ynthatsqum:

Arakayum michocner.

  1. Audit test fixtures-ner — orshnel email, helephone ev ID normaner:
  2. Stougum production log failner project dirs-erum haghordakayin ID-neri hamar:
  3. Tarmazatel .gitignore-e log failner ev mir-spetsifik tvyl failner batsarrelu hamar:
  4. Entanel iravakanne kakelinn generator-nerov, oryapes Faker kham Mimesis:

Audit-y miayn hachakhapes kakarivum e tariner kuchatsats tatanumov: Mek team gtav iravakan haghordakayin email-ner 14 test failnerum, vor steghtsvel ein vets tarber mshakoghneri kognich yerek tariner shtapa: Mshakoghneric voronch mekn nakhatatsvats chtyer nranq kacel:

Araj amenayn AI assistant sessiayi.

  • Karum e PII haysabutsiun failneri vra skesbats share anelich araj:
  • IDE gortsiqayneri hamar, oryapes Cursor. batsarrele test dirs-e indexing-ich:
  • Chat-based gortsiqayneri hamar. nayarkel pastabvats kode andznakan tekhekatatvutyuni hamar:

MCP Server aylakum.

anonym.legal MCP Server-e PII haysabutsiun kapum e Claude Desktop-um ev Cursor-um: Partere parz en:

  1. Baceq fail-e redaktorom:
  2. Karekeq MCP Server. fayli mej PII haysabel:
  3. Nayarkeq nshanagruvats banere:
  4. Jnjel interaktsiani mej:
  5. Maqur fail share aneq AI gortsiqayi het:

Ays avalelum e 30 vyurkyanich kam fail mekum: Ayn hanumel e manual "PII stougum" barchum: Tesc mer gney nakhatatumneri eje, vor MCP Server-i mshakumavorutyun aveleq zer teamin:

Sintetik muts tvylner — kanakakan luts.

Eres mi kchanaputsiun ardzanagrekeq test fixtures-nerum iravakan tarkerer: Sintetik grararannere iravakan muts tvylner en ararum, aranc iravakan oshekerier tatanelu: Faker (Python/Node.js), Factory Boy (Python), ev Bogus (.NET)-e valid muts tvylner en ararum amenayn sxemai hamar: Amenoyr grararane thuylatrum e locale-i seed ev handark anunner, email-ner ev herakhos hamarnerer aracel — bolor kakelinn:

Depqi Uzumassirumanutyun. SaaS Team Gtnum e Iravakan Granvutyunner Cursor-um

Gtnume e eghats GDPR audit-um: SaaS team, vor Cursor e ogtagortsnum, gtav iravakan haghordakayin email-ner unit test fixtures-nerum: Mshakoghe 50 haghordakayin tarkerer ardzanagrabelutsyn e production-ich 18 amis araj: Ay tarkerere commit eran arardats versiayi khatsakarume ev Cursor-i kugnm eghats:

18 amsi yndatsqum, Cursor-e fixture failneri mshakutyun karkelatsav motevorapen 11,000 angam 8 mshakoghneri IDE sessianeri taratsqov: Amenoyr session-e fixture boveandakutsiun karoli e uzarkel Cursor API-uyn:

Team-i aradzyal partere.

  1. Entanel bolor 50 iravakan tarkerne Faker-i kakelinov araratvats kakelinn muts tvylnerov:
  2. Tarmazatel .gitignore-e log failner batsarrelu hamar:
  3. Avazel MCP Server-i petumov PII haysabutyun skesbats kode share anelich araj:
  4. Sazhmanel norm. amenayn commit ardarkvats failum production granvutyunner chen:

MCP Server-n himnakan popokhutyune eghats: Mshakoghnere hima haysabutsiun en karum skesbats Cursor sessianich araj haghordakayin kodi vra: Zero lriv aylots MCP karekerich durs:

Aveli karda наши depqerum bagyatum:

Aghbyurner

GitHub Security Research 2024. VERIFIED-EXTERNAL.

GDPR Article 28. VERIFIED-EXTERNAL.

HIPAA BAA Uzecutyun. VERIFIED-EXTERNAL.

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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.
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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.