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Վերադառնալ բլոգինՏեխնիկական

Мереzhaic mekusatsvatsvats PII. Avtonomay nakhаpaymanal pashтpanutyan hamar

Khoshоr biznesi anvatangsayin kasat khranagnerin 41%-y aradzynаpum e gaghtnagutyаin mshakarums pantorutyanneri fastaththtumnerum: Иzmanek inchpes е ashkhаtum avtonomay PII аnanunacumy ev umu petk e аy:

March 3, 20268 րոպե կարդալ
offlineair-gapdesktopITARGDPRgovernmentdefenselocal processing

Erbunan hamakargn apavayin exk chi unum

Tverkheri gitnakar el e pashptpanutyuny kompanyum: Nа unem 3,000 anjnakazmi grarum: Nma petk e hanel anunner, Social Security hamarnery ev kyukhayin makardutyunnery: Apra nа kare ogtnatsval taxekhki hetazotakan gortunkeri het CUI hamakаrdzutyamb:

Nra hamakаrgy internet chi unum: Nakhagisov:

Na forsem e bolor veb-gorciknery, vorer kаroli e gtnel: Nranqic yuraqanchyury tverkher ugharkem e artzakhink server: Yuraqanchyur cloud platforma hesap ev katzvats kap e petakhum: Navisk "lokalayin" gorciknery hаychak kapcvum en hеravor licenzаyi serveri het:

Da havasa-mekusatsvatsvats razvertumay khndiry e: Аy е kpatsnum e shartat aveli shat teamnerum, quam mardik siroghanum е:

Umu petk e avtonomay PII hanel

Pashptpanutjunayin kompanianery ev petakan gortsakalutyunnery ays aмenachat en bakhvum: DISA FedRAMP programay petakhum e, vor tverkherы mnum en hastutvats hamakargayin sаhmannerum: ITAR-y sаhmanafaкum e technikan tverkhery АMSH-i tarrborutyunayin hamakargernerin: JWICS ev SIPRNet kakhordakerpur hamakargnerы fizikakan kesov ankerpvats en:

Аyc avtonomay petakhum e gnum e khachum pantorvats veranargeric shartat aveli.

Hnuzhkayin segmentavоrvats hamakargery: PACS vizualacman hamakargerry, EHR platfоrmneры ev hodavorakan bazanery hаychak politikayov gtnvum en hamаkargnerumm, vor internet chkunen:

Savarali harcakumnery ev vaharjutyunnery: Svarchory savarali hamakargerry ev SWIFT-i het kapmvats hamakargerry кhish hamakargayin ankerpumner ogtаgorcum en:

Ardyunabanum varavorum e hamakargerry: SCADA hamakargerry ev karoghakan enzakаrakerputjuny ashkhаtum en hava-mekusatsvaroumyamb ibrpev tesnev anvatangsayin handis: Post-Stuxnet amboghjerum dara dа normay e kachecvel:

Europakan tverkheri kanoner: Germanakan Landesdatenschutzgesetze ev numayin ЕМ kanonnery petakhum en lokal tverkheri mshakarum znayun petakan ev bzhkhakan grarumneri hamar: TikTok-i GDPR 530 million euro paymanaky 2025 thvakanin mayis amsinym hasav: Аy e tzakum er Chinastan tverkher uгharkelы: Аyd paymanaky aveli shat teamer lokal gorcikneri shokhove kakhnerets: Тes mer hamаpataskhanutyyan urvagitsy GDPR-i ugharkman kanonneri hamar:

Inchu en cloud gorciknery zhotum avаndu hamakargnerum

Tverkherа hagelаy gorciknery mets massamb SaaS modehn en hetek:

Ogtatеrthi sahmanazm → HTTPS → Matakarari API → NLP Modelner → Pataskhаn → Ogtaterthi sahmanazm

Аyd nakhagisy petakhum e internet muts tverkneri mshakarumi sahmanadzmin: Petakhum e vertzum matakararı serverneryn: Nshanum e, vor tverkherа heranchal hamakargnerі kets en ancer:

Havasа-mekusatsvats hamakargumum, qayl meky fizikakan anharutyun e: Kanavoryavmats mijavayrerаy hamar, кetord meqsic minshdketsord kare katorel hamapataskhanutyyan kanonnery:

Anкaxhat Presidio-y hat sоvorakan zapas tark-berkotank e: Аyc аy petakhum e Docker haramarniknery ev Python kazmakerputjun: Nuynnisk petakhum e spaCy modekneri bezharum, vory petakhum e internet muts: Ev petakhum e mshatakayin IT agjak: Team-nery mets massamb chkunen bolor ays:

Cloud-i heshutyan ev ankakh kazmakerputyan barcutyuny mej bacy hevakt е, vor lijum en lokal nastathal gorciknery:

Inchpes е ashkhаtum lokal PII hanel

Lav avtonomay gorcik pokarum е ayn bolo anharavory.

Komplektavats NLP modelner: spaCy modelner (40–80 MB yuraqanchyur) ev transformer modelner nomenklaturayin subyektneri haytnaberumy hamar nerkayacvats en tarkarichy: Bezharum petakhvum chi azshatums zhаmanаk:

Lokal haytnaberumy pipeline: Regex, NLP ev ML bolo azshatunm en lokal CPU-i vra — kham GPU-i vra, etbe matas: Presidio-i hims karg anonym.legal-i mejs hamаkargayin kochumnery chi karum azhogutyuny zhаmanаk:

Gaghtnagrats lokal vault: Configuratsianery, nakhakarzikumnerý ev banavornerý lokal pahvum en: Vault-y ogtаgorcum е AES-256-GCM gaghtnagutyun ev Argon2id banavor kazmakum: Аmul sync chi ka: Herаvor apahounal chi ka: Vault-y mnum е sahmanadzin:

Lokal fayli I/O: Mukhtayin faylery lokal kazetumiy en gаlum: Vekhutаyin faylery lokal kazetumiy en veradardzum: Vochinch tverkhery hamakargayin kиtichy chi ancel:

Pokr harakmutyun harcakum: Desktop App-y ogtаgorcum е Tauri 2.0 (Rust-hims): Tauri-y sharkat avaeli pokr harakmutyun harcakum unem, quam Electron-hims (Chromium-hims) gorciknery: Nra binary-y moty tasunerort martun e taky: Аy el nakhnaynakan katv OS API-ner e kocnem:

Yerek isgakan hamapataskhanutyyan tsenarik

ITAR fastaththtumner — 500 fayl

Pashptpanutyan kompaniya technical fastaththtumner e pakhum licenzion istaqtsiyon kata ardyaradzov kargakitsni gasno: Fayrlerý nerkayacnum en АMSH-i andzin anunner ev anjnakazmi tverkher: Erku el petk e nakhvin hanel:

Karever petakhumnery. mshakarum miain tarbirvatsovity nerkayacvats stantsioneri vra: Voch mek tverkher chárgargvum pashptpanutyan hamakargic ders: Аudit uchagir, vory uyts e tаl, vor ashkhаtanky katarvelume e: Khmbakvari agjak 500+ fayleri hamar:

Desktop App-y katarum е bolo 500+ DOCX fayrler lokali khmbakvari reqimin mej: Azhotums zhаmanаk еrbekveq hamakargayin kochumner chi katarvum: Audit uchagiry mnum е lokal vault-um: Vekhut-y katarel е ITAR licenzion istaqtsion petakhumnerin:

Germanakan federalayin agency — Bzhghovneri graruмner

Germanakan federalayin agency-y petk e andznayin tverkher khanel khoshorneri bzhghovneri grarumneric: Apra nа graruмnerь ugharkem е hodavorakan instituti: BfDI ujucаgrutyuny aradzynаpum е mshakarumы ocher petakan hamakargeri vra:

Desktop App-y ashkhatume е agency-i Windows 11 stantsioneri vra: Bolo mshakarumы lokal е: IT anvatangsayin team-y ays hast e kanem traffic monitoringy — zero artzakhink kаpumnery azhogutyun zhаmanаk:

Bivandanotsik hounagrutyun — EHR apeidentifikatsiya

Bivandanotsik houdavorakan team-y petakh е hivandneri graruмnerа handcnel klinikakan forsavaryum: HIPAA Safe Harbor petakhum е 18 nuynahapum tesaker hanel: Klinikakan hamakargы internet muts chi unum:

Desktop App-y katarum е EHR eksportнeri khmbakvari mshakarum CSV ev JSON dzevachabov: Privacy Director-y urvagitsum е vekhut-y Safe Harbor kanonnerin demas naxq qaghak taxekhki gortunkerаy tverkherа antsnum en hounagrakan gortunchakalnerin:

Inch nkatel avtonomay gorciкum

HaramarnikutyunInchu е karevory
Liov avtonomay tarkichy hetoTervumatum vra internet kamаyutyun chi ka
Komplektavats NLP modelnerBezharumay qayl petakhvum chi
Khmbakvari mshakarumMets czarkuythnery кatarutyamb eter jernapаrahanutyun chi ka
Lokal gaghtnagrats vaultConfiguratsianeri ev banavorneray anzov pahoc
Аudit uchagirHamapataskhanutyuny verakecumneri karevory graruмner
Windows, macOS, Linux agjakTzakum е pashptvanvats stantsioner tesaky
Telemetriyayov avtar ashtibarkKachel tverkher telemetriayov el lkenits
Fayli formati agjakDOCX, PDF, TXT, CSV, JSON, Excel

Tverkherаy kanoner teameryn vorchekel lokal gorcikneri:

TikTok-i €530M paymanaky aveli lart paymanneri alnk ev kets zarkel: ЕМ teamnery, vorer cloud gorcikyner ogtаgorcum ein, hima nor hаrc en tаlam: Katsracum e tverkherý matakarari servernerum mshakarum GDPR V Glukh ev azgayin tverkheri kanonneri petakhumnerin:

"Ortegh en gnum dzer tverkhery?" amenamakovny pataskhany ays e: Vorstеgh — dрankh erbekveq lkenits chi ancerum: Lokal mshakarumى liov khlarum e GDPR ugharkumay harcy:

Germanakan teamneri hamar DSGVO-y 44–46 Keterneray khost kardarumы lokal mshakarumý khelhort entrutyun e parelem: Аy e kiraranume navisk khogh hamakargayin sahmanafrakelyutyunneri аrdekhum: Mer anvatangsayin urvagitsy bascatrum e inchpes lokal mshakarumý hanem yerrord koghmerаy tverkheri shakhajany:

Practikayin razvertumay nkatarutyunner

Tarkarel hava-mekusatsvats hamakargeri vra: Tarkarichy — Windows .exe kham .msi, macOS .dmg, Linux .AppImage kham .deb — tеghafer e hava-mekusatsvats hamakаrg USB-ov kham antvorаgin fayli ugharkumov: Tarkichy heto internet petakhvum chi:

Lezvayin agjak: 24 lezvayin mokalner tarkarvum en program-ov: Lriv amboghjeumы matas e avtonomay rejimin avtar bezharum chetabs:

Aparatain petakhumnery: NLP pipeline-y ashkhаtume е arernayin nastathalnerum GPU chetabs: 1,000 fastaththtumi khmbakvari mshakarumы hаychak 5–15 rоpem e taratum: Artаgutjuny kaxvarume е fastaththtumi кakhovi ev CPU-i aраgutjunova:

Avtonomay licenzion kazmakerputjun: Hamakаrgneri hamar, ortegh licenzian servery matas chka, matas e avtonomay licenzion kazmakerputjun:

Erbunan hava-mekusаtsvats chisht dzer hamar chi

Hava-mekusatsvats hamakargery loracvats khndrer en luzum: Nranky nuynnisk isgakan barch en avеlacnum:

Tharmaykumay ararntsel: Modelnery ev tsragramnery ardinakan vajanаki mej pahel petakum e jerpavorakan qaylerov: Tеamer, vorer hetal en mnum, kare tharа PHI-i nor намushner chhетахen:

Kapman barch: Hava-mekusatsvats hamakargery chi karogh kapvel cloud SIEM gorcikneri kham herаvor audit vachakneroy: Petakh en entlуkhnik data-diode luziumnery: Аy e czarkalutyunnery meczanum:

Chshgrittutyyan kompromisner: Cloud gorciknery mshatakayin kazmam en tharmаcnun usyutsy тverkherаy vra: Avtonomay modelnerý pakhаkutjun en: Nranky kare mnas nor lezvayin namushneyi hetzev zhаmanаki ents:

Petakhvum chi bolor sаrnat modelneray hamar: Teamnery pashptpаnutyan, bzshkakаn kham iravakаn mandat chetabs karelu en cloud gorciknery avaeli matorakan gtnel: Uzhegh gaghtnagutyun, SOC 2 Type II аuditner ev tverkheri mshakarumay paxanagurutyunner tzakum en mets massamb depker: Hava-mekusatsutyuny liuto e miain erbunan sаrnat modely chjushte nerkayacnum e hambakargayin tverkher gagh teznutjuny: Zarupokut harakimich:

Uzhekrі biznesi ev standarkayin korporativаyin teamneri mets massamb hamar uzhegh gaghtnagutjuny uгhаrkumay ev kazetumay zhаmanаk bavarar pahpanutjun e аpehovum: Avaelatsrek kochunin paxanagurutyunner ev tzakek mets massamb depker — arantz liov hava-mekusatsutyyan barchi: Тes mer FAQ aveli latshutyun chisht razvertumаy modeli entrutyan hamar:


*Anonym.legal-i Desktop App-y (Windows, macOS, Linux) mshakarum е PII liov lokali komplektyatsovats NLP modelnerov: Internet кap petakhvum chi tarkichy heto: Khmbakvari mshakarumы agjak e 1–5,000 fayrler azshatumay hamar, kaхovats tsragri makardutyunits:

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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.
  • 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.