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Վերադառնալ բլոգինAI Անվտանգություն

Nerkin wiki PII. Confluence ev haghordakayin tvylner

Support teamere documentavorum en processen haghordakayin heshaynerin screenshots-ov: 3 tari yntatsqum ays e hazaravor GDPR Data minimization khokhum zer Confluence-um:

June 5, 20266 րոպե կարդալ
Confluence GDPRinternal wiki PIIcustomer datadocumentation privacydata minimization

Screenshot PII Nerkin Gitutyunneri Bazarum

Nerkin gitutyunneri bazar — Confluence, Notion, SharePoint, GitBook — gndum en PII khndali konkret arakn, or sarovankan hamapatutyunay gortsiqannere bchandzum en. haghordakayin andznakan tvyaler embedd arvatsvats screenshottnerum, vor ogtagortsvadum en process docs-i hamar:

Karcike kentegrkum e hazaravoraperev support ev operations teamnerum:

Support agent-ne anusal heshayin karghavorutyun e gtnumay: Ayն screenshot e anum haghordayi heshayin eje, vorop e dokumentavoreli khndal: Screenshote uyts e talis haghordayi anune UI titelum, ir emailn heshayin sazhmanner mej, ev ir nakhatatumneri detalner:

Hodvatsn e galis nerkin gitutyunneri bazari mej: Hundavis hamhavak 150 support agent-ner karoli en tesnel ay: Ardyin drs 12 contractor-ner external helpdesk-i vra karoli en tesnel: Hodvatsn ogtakar e: Ayn tsuyts e talis, inchet e tnutsaynal ay kantornum: Ameynur agent, or ay kargutyune shghum e aysorin, karcdi ayn:

Erek tari heto, gitutyunneri bazare phakarakum e 847 numan hodvatser: Amenoyrn endrkelum en screenshot haghordakayin heshaynerin: Hasteratsvats haghordayinere hamagortsutyun chen tvel irentstsi granvutyunneri ays artatsortsk ogtaputsyan hamar: Mer merits chi gitem nrankvts tvylnere inkank pahum en:

Ays tstsr khndal chi: Ayn ashxarhumе e ameynur nor hodvatsi het:

GDPR-i Tatanatum. Inchi E Ays Kashkandali

Gitutyunneri bazayi screenshot-neri GDPR visharkume ush e:

Tvyalneri minimizatsiun (Article 5(1)(c)). Andznakan tvylnere petke linen "hamarzhek, npatak ev sarjanakutyamb yndlaynel": Heshayin karghavorutyan masin gitutyunneri bazayi hodvats iravakan haghordayi anume ev email-e petk chi uni: Apalchvatsvats screenshote nuynakanatsats npatakye ckarum e: Kensakan haghordakayin tvylneri endrkelume anhrashesht chi:

Npataki sabanum (Article 5(1)(b)). Mek npataki hamar havorvats tvylnere hnar chi ogtavor linel aylor npataki hamar — nerkin process docs — aranc iravakan himqov: Heshayin granvutyunne havorvets cnajakatsutyan npatakov, ochi nerkin dokumentavorman hamar: Ays nuyni granvutyunnerits erku arakner ogtavorutyun petakanutyun uni iravakan himq, vor merik teamere ch'en xmbagumel:

Mshakutyunay katsavanutyun (Article 5(1)(f) ev Article 32). Hamapataskhanayin texnikakan michocner petke tshutsatsnen andznakan tvylner: Haghordakayin heshayin screenshotnerev gitutyunneri bazay gortserannerum, vor bats e bolor 150 agent-nerin ev contractor-nerin — ayndharam, ov tveyal chi heshayin hambakargayin mshakutyunay — ardzunqov shay canenarjaktsi:

Jtsnelu iravaunk (Article 17). Tvylneri suybyekty, vor patxandum e jnshel, iravaunk uni ir granvutyunnere haneluay "andzhakhetrum hachutyamb": Erb nranvts tvylnere avelachanum en gitutyunneri bazayi 23 hodvatsnerum embedd screenshottnerum, patxanume petk e gtnel ev paronakel bolor 23 hodvatser: Ayt dzhvar e aranc hamakargits: Mer GDPR jnshelu iravaunkay uzecutyun yntrakayin partere sharjvelovnerum e:

Ay yntatsqum hamatakarem mek el hayetsakarg artahaytutyunner chynen: Nrank kanonagruthyan textin sararavan karaspanutsiun en nerkin praktikay:

Mshakutyunay Katsavanuthyan Shrakanchum

Confluence screenshot-neri hamapatutyunay amenahard khndaly steghtsumov mshakutyunay katsavanuthyan shrakanchumn e:

Support teamere ogtagortsnum en role-based mshakutyunay katsavanutyun (RBAC), vor kchanapeq te ov karoli e tesnel haghordakayin heshayin hambakargner: 1-in tier agent-nere tesnum en tarchin heshayin detalner: 2-in tier agent-nere tesnum en artzhariki ev texnikakan granvutyunner: Karavarchnerе tesnum en haghordakayin profile amben:

Erb 2-in tier-i agent-ne steghtsnum e gitutyunneri bazayi hodvats haghordakayin heshayin amben screenshottov, ay screenshote dabnum e bolor gogtsik ogtavoroghneri hamar: 1-in tier agent-nere, vor artzhariki granvutyunner petk che tesnen, hima karoli en tesnel nranq: Contractor-nere, vor hambakargayin mshakutyun chunen, karoli en tesnel nranq: Nor aşhatakoghneré sksnakalum darashrjanaknum karoli en tesnel nranq:

Screenshote shrakanchum e haghordakayin heshayin hambakargayi vra RBAC katsavanuthyunnere: Andznakan tvylnere, vor RBAC-e karrutsvel er pashtrelu, hima bats en bolor unecoghnerum hamar, ov mshakutyunay hamakarg uni:

Ay tesvakanakayn rishk chi: Ay normakayn ardjunk e docs workflow-ay: Screenshote bayts anmahayinum chi, mshakutyunay log chi, ev audit trail chi:

Praktikakan Bedkaryagortsutyunay Parterer

Teamnerum, vor ays khndaly gtnum en GDPR auditum:

Hakarot bedkaryagortsutyun.

  1. Nuynyacrel bolor gitutyunneri bazayi ejmere, vor patker ktsordumner uni
  2. Karum e patkerayin PII haysabutsiun ameynur ktsordumneri vra
  3. Nshanagruvats patker nayarkeq. bardzr havatakanutyan uyghukner gnum en nayarkultyunay kishit
  4. Amenoyr nshanagruvats patker hamar. entakel e sterilizatsvarats versiaov kham srebakel ejerin mshakutyunay
  5. Ardzanagreq bedkaryagortsutyunay miçocnnere GDPR granvutyunneri hamar

Hakarot ashkhati tsavajmutyune katxvum e gitutyunneri bazayi chaphev: 50-andam support teamay erektarian gitutyunneri bazayi hamar, patker-i hachakhakutsiun e miangamayie kunena hazaravori: Khmbakain patker mshakume ays khndaly katareli e dasnum: Nshanagruvats patkeray mardkan nayarkute himnakan khchanashokhakan e:

Apagayin khatsakarner.

  1. Varzhel bolor support andznakakneri el patker sanitizatsia aneq skesbats gitutyunneri bazayi hratarakutsyunich araj
  2. Gortsikneri taramutsiun. screenshot-i annotation gortisqaynner, vor qaghaqakanatsnum en haghordakayin anuner skesbats pastabelich araj
  3. Avazel nayarkutyunay qayler. nshanagravarats nayarkichne stougum e hodvatser skesbats hratarakutsyunich araj, heyterkelorapen orshnum e haghordakayin PII patkerum
  4. Katarekutsyal khmbakain patker scanning Confluence ktsordumneri vra amsain mek angam

Minimum gtayin khatsakar. Hratarakman aghats-tsucak. "Hanu kam apalchek bolor haghordakayin anuner, email-ner ev heshayin ID-ner screenshottnerich skesbats hratarakutsyunich araj": Tsatsrzr-texnikakan, ochi avtomatiç, bayts ardzhanarq ir granvutsumov khatsakar e steghtsnum: Poqr teamnerum ays sksnakayin ketsn e:

Tesc mer GDPR hamapatutyunay aknark lriv iravakan karashreji hamar, ev inchu anhnay texnikakan khatsakarneri karoghaghatsutsiun e dzakhoghe aghatsuchak mimayn menaxosutsiunneri dzaxoghutyan hamar:

Inchi E Khndaly Zhamenak Avalanali

Aranc hamakargavarats khatsakarneri, gitutyunneri bazayi PII tatanumne barmanabanumane e:

Tsavajmutyun. Amenoyr nor hodvats haghordakayin screenshottov aveli e tsutsum hamakarg tatanumay: Support teamn ashxatumi mej e ev gitutyunneri bazar e ougharchaknum, kuchatsats PII e aveli mets linum: Ays gortsiqayneri ogtakar datsutsyunnere — hratarakutyan arsaguyutsiun, metsetsiun, lrjatsum — nranvts karaktsayin eki dzakhoghutsiun en PII-ay xndirum:

Maloratsvan hodvatser. Tur aght chunecogh depkerum hodvatser, vor ayn ardzhn nayarakeliк en, menak mnatsum en bats: Nrank PII en patum haghordayinerich, vor sksanelits khetakan jtshelu patxanq en nerkatsel: Voronch bay chi stougum 2022-in verjin anghame tarvats hodvats:

Cross-team taratsume. Gitutyunneri bazayknerenere avalelap gntsal en finktsional: Support hodvats haghordakayin screenshottnerove karoli e kasvatsnal product teamin, indzhenern teamin kham artaqin contractor-nerin, feature pahanjov kham bug repori kontekstov: Amenoyr kapakutsyune vicanakuchem e andznakan tvyalneri audience-e:

Jtshelu bachas. Gitutyunneri bazayi mej hetzvats haghordakayin granvutyunneri kolorelov, jtshelu patxanqnerun ardzagelu gortsayntsin mets bard e dasnum: Aranc hamakargits, hamatakarel eli ver, vor tvylneri suybyekti granvutyunneri ameyn orinaki gtvel e ev hatkel, hashvets chi: Team-n hastatvats jtshelu haydatararutyun chi kareli taberashxarhel:

Gitutyunneri bazayi PII-n aveliy ashkel e, kan tikel: Hima vaverakrvarats khatsakar-nere xusafnum en avelabardetsagan bedkaryagortsutyunay xndirel: Amenoyr hodvats, hratarakutsvarats apalchvats screenshottov, hatakanorapen naxandznagortsutyunay ashkhati aspndum e:

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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.