anonym.legal

By · Last updated 2026-06-05

Վերադառնալ բլոգինAI Անվտանգություն

Սքրինշոթներ և անձնական տվյալների արտահոս. ներքին գործիքներ

Slack, Teams, Jira և էլ. փոստ պարբerably ստanuma են հաճախorid անdznakan tvyal patkerutyan screenshoter: Մուtkvelyutyan stgutyun jnetsum e bolor DLP gortseranneree:

June 5, 20266 րոպե կարդալ
screenshot PIIinternal toolsGDPR compliancedata leakageJira Slack security

DLP-ի կույր կետ, որը դuq̈ er auditavarum

DLP գործheranneree harkyum en ckayatsakan trafikaum, el. postayin faylerum ev fail-i փoxantstumnerum: Nrank batsahaytum en SSN-shtabakanerove spreadsheet-er: Nrank nshanyakum en haghardaknertsyal customer-i tsanother email-er: Nrank argelum en medical-i graruytsvatsov upload-er:

Nrank cen batsahaytum screen captureaner:

Screen capture-n patker-fail e: Nra mej PII-n nkarvats e pixel-nerov: Ayն pahrpvats chy oryakes text: DLP sharzichner, vor scan en anum PII-i dzerevavorutyun, voronch ban hast charnum:

Amerein or, aşhatog̈nner pastabenum en screen captureanner Slack, Jira, Teams ev email-i shshetnerum: Zero DLP nkayatsutyu̦n karkvum e:

Inch pes screen captureanner taratsnum en PII-n ashkhatum

Herate ev hib̈rid ashkhatu̦tyu̦ne taratsre capture-neri ktsorutyune saravorakan: Nerqin gortsiqanner amovrvan en unem nranov ameynur or:

Thighakits andznayk sharela capture-anner shra ardzak konteksti hamar:

  • Supporti agent-nere tzangum en customer-i heshayin takesi dzersk, vor kasaketsnen team lead-neri het:
  • Mshakoghnere share en skhalneri log-er, vor en customer-i muts tvyalner:
  • Heshabanem katarum e CRM ardzanagruthune, vor finansakan team-in kontekst ta:
  • IT administratorner capturerum en hamakarg-i dazerqner, vor dokumentavorun contractor-neri amragutyune:
  • Arachnarkyum team-nere share en dashboard capture-anner shakhordakneri vochapnyakiNerim:

Amenur ktsordze karoj e lrel andznakan teghekatatvutyun: Customer-i heshayi capturen krel e anum, email, vitchak ev hsktayin hatse: Skhali log-ner karoj en lrel anunner, hascehay̦ner kham hamarnerer, vor moshkner mekharkek en: CRM granvutyan capture-n lrel e lineli hagtarak heshayin profile-n: Dashboard capturen karoj e user ID-ner tsuyts ta diagrami nasparanneri vra:

Htaskek katsavan kndalume

Screen capture-neri share-e nayev htaskek katsavan khndal e stvum:

Kargovagrutyunneri mets mase karavogyakan hasnkanutyan votsorutyunner en sezmanelu production hamakargnerum: Supporti agent-n tesi miayn ir hashartsy grasenyakner: Contractorn tesi miayn nakhatatvatsvats project failnere:

Erb agent-n vorokshenum e customer granvutyan ev pastabenum Slack-i kanalum contractor-nerin, htaskekakakan katsavanumzanutayine skasvum e: Contractorn steghnum e andzukan tvyalner, voronts ch'i kareli hasel sghich uzharararutyambul: Contractori ashkhati hamar DPA karo che kargelel ays handurume: Customer-i GDPR iravaunnere karo che teghakanen ay contractor-i vra:

Ays batsashetuytunyune GDPR Article 5(1)(f)-i khndal e: Ayn ambenelu mtnev katsavanut-yutyune: Nayev karoj e Article 28-i himnavorutyunner stvavorel, erb contractor-nerne PII en steghanum ardzakac DPA-neri aret: Tес mer GDPR hamagortsutyunу gide-n Article 28-i paymannerum paytman aghyu shetzi hamar:

Patkerayin PII Haysabutyune oryapes technology safeguard

Capture-heturali PII tatelu technology safeguard-n OCR e gamarek NLP haysabutyamb: Partere parz en:

  1. Aşhataghne veraprotel e customer interface-i ekran:
  2. Share aneluic araj. upload e capture-n haysabum gortsin:
  3. Gortse khenelu e texte OCR-ov:
  4. NLP-n gtnumè PII kostumereri texti mej:
  5. Aşhataghne tese tsuyts. "Ay capture-n pargawel e. [customer-i anun], [email hasce], [heshayin ID]:"
  6. Aşhataghne apet e jnjel PII-n, khamratsnel kapvasutyunny, kam sghich aghaghutyamb sheghel:

Ays amenayn share-i argelume chy: Aynen ots tsuyts e ta andznakan teghekatatvutune skesbats sheghelu: Mardik hetos kareli en kghjadrumner karelel: Tesc, inity ays pastume aynk protection stake-i mej safeguards eje-um:

Ogtagortzum. SaaS Helpdesk Jira Capture Policy

SaaS yntanikots help desk-e оgtagortzum er Jira-n heshayin khndalneri ardzanagrutyan hamar: Ay tiketernerum ktsord failere lrerel en user PII: Masyakavorapen.

  • User email hasceaynere heshayin kataravman ekrannerich:
  • Baratsinum nakhatatumner:
  • Arachnarkyum chartsatsutyunner ev amsativer:
  • Artzhariki vchemin tvyalner myus deptqerum:

GDPR auditе 847 Jira ticket gar 18 amis shtapatsumov: Bolvore PII ktsordumner unerin: Jira-n bats er 200 inzhenern hamar: Menq-umnere contractor-ner erin aret DPA-ner customer-i artzhariki grasenyakneri hamar:

Bedkaryagortsutyun parterer.

  1. Hakarot audit. PII haysabutyun bolor ekelagretsyal ktsordumneri vra: 312 ticket nishanagretsav DPO nayarkutyan hamar:
  2. Ticket maqrutyun. 89 ticket-neri failere mshushetsvetstsn skesbats veranerketsnelich:
  3. Gortsayntsin popokhutyun. nor workflow, vor PII check e patxandum skesbats Jira ktsordumen araj:
  4. Varzhutsiun. 15-ropanom session bolor help desk aşhataghnerum:

Andzkalutyunner 90 oreic heto.

  • PII inadepatsutsa Jira-um. irakanut 90 toks nvazhets:
  • Mnatstsal inadepatsutsa. depkaner, erb aşhataghnerь sheghetstsin gradzvats apatsots patcharov:
  • DPA khndir: tzvatsav ktranknel avelvardi andznakan tvyalneri tatele contractor-nerin:

312 petakan tiketerutyan nishanagrumhere hamapataskhanel en hamaapatsutsin: 90 tokunots ankhman zbaghets artahaytutyun aper apatsots hayakhosakan pataskhan-um:

Screen capture nayarkutyan karrukutyun team-i workflow-nerum

Kargovagrutyunneri hamar, vor PII khatsakar katonner zhakaen aranc shorutyun dvelu, mi kayts karollotikhanner kachum en:

Halvakay tarberaki. Vebbrauzer gorts, zor aşhatakhetanerne ogtagortssum en Slack-um kham Jira-um pastbelits araj: Qashel capturen, stamanel PII tsuyts 5 vyurkyanum, heto shghel kam jnjel:

Jira kham ServiceNow hook. Haysabutyun, zor karvelots e, mints fail-nere ticehter khayin: Aynes nman e virus scan-i fail upload anelich araj:

Slack bot. Bot, zor kchanaputyun PII haysabutyun e karum entranvats kanalnerum: Ayն PII haysabutsiun e karum: Ay thread-um pataskhan e grum haysaberats kostumerneri hamar: Ays andznakan teghekatatvutene tresakir e anonum aranc workflow ambastagrvelu:

Team норма + nmushtrakatssum. Shabatat automized check: Nmushtrak karum 10 tokunots captureanneri collaboration gortsiqannerum: Karum e haysabutyun: Haydnaranum en gtnumnerits team lead-in: Ays patasghanavorutyun ke karakhtumdzyunerel aranc workflow ambastagrvelu:

GDPR granvutayunneri hamar. capture PII khatsakare "kаzmarapskhanayin michots" e GDPR Article 32-i nerqo: Grel safeguard-e - koghme ghumars tech gortsi het: Avazel kchanaputyun: Ays bataredrel e Article 5(2) patasghanavorutyan kanom: Tesc mer hamagortsutyun eje ev Article 32-i glossary gras:

Carkanum el tesneloy, inchet e anonym.legal-n ays karohe dzer team-i hamar? Aytsev mer nakhatatumneri eje kham kardatel hashvarkutyan haydataraman verapok petakan:

Aghbyurner

Պատրաստ եք պաշտպանելու ձեր տվյալները?

Սկսեք PII անանոնիմացնել 285+ կազմակերպության տեսակներով 48 լեզուներով:

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.