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Վերադառնալ բլոգինAI Անվտանգություն

Entserapetakan AI. Tsragravori Moutk Aranc Riski

Bankery argelouyin ChatGPT-n: Nrantsits tsragravornery miayn yevs tanic ogtagertsooum ein: Entserapetakan AI chatbotneroum moutkagrooum e bovandaloutyan 27.4%-n zgayun tvyal e (Zscaler):

April 6, 20269 րոպե կարդալ
enterprise AI banAI governanceMCP Server enterpriseZscaler AI data riskdeveloper AI policy

AI Argely, Vor Khakhteluts Ireni Dems Skhsvets

Mets entserapetakanner-n argelouyin hashvartsvats AI gortsikner: JPMorgan, Deutsche Bank, Wells Fargo, Goldman Sachs, Bank of America, Apple yev Verizon ameny ayd atelin: Argeloumnery araj el e gerouyin irakal tvyali batsahoutyouni depkerin heto: Karoutsichner-n mtatshan gakhtnavayr tvyali masin, vor anyakhts AI matoladatsnery mijtsoom en:

Argeloumnery khndiry chi loutsouyin:

LayerX 2025 verloutsoutyounn parzel e, vor entserapetakan AI moutki 71.6%-n hima antsnoum e voch-korporativ hashivnerits: Ashkhatakatsinner-y ChatGPT, Claude yev Gemini-n ogtagertsooum en andznavori hashivnerits: Nrank ayd anoum en korporativ sarkeroum: Nrank nayev andznavori sarkerum ogtagertsooum en ashkhatanki hamar: AI argely stvortsets shadow AI ekosistem: IT-n ayn mej tesaneloutoutyoun chi ounee: DLP verahskogh gortsikner-n ain chi haraghanoum: Hamapataskhoutyan monitoringy ayn chi karogi hshvel:

Zscaler 2025 Data@Risk zpekagiry vnooki mej tser e: Entserapetakan AI chatbotneroum moutkagrooum e bovandaloutyan 27.4%-n zgayun tvyal e: Da tari-tari 156% aragnoutyounn e: Aragnoutyounn-n ouner erkoo patchar: AI gortsiknerum apatsoutyounn ambaghjatsvets: Shadow AI migratsyan andradzets amenayor monitoring-n:

Inch Amou Argeloomner-n Aveli Vat en Katarooum Vichy

Mrtskakayin chapanin-n barcatroum e shadow AI apatsoutyounn: AI-n ardelouoghe entserapetakanneri tsragravornery khndirner-n aveli shout en knigrooum: Nrank parastakhter aveli shout en grooum: Nrank nerakirner aveli shout en tsagooum: JPMorgan-oum argeln hashoutsoghe tsragravornery irakal arajoghoutyan bachin en bakhvooum:

Ayd paraviroovm hamapataskvogh chadov shrounakel ardzanakoutyoun e pakhooum: Andznavori hashivits AI-i ogtagutyounn hashv e: Amenayor andznavori qndasoutyounn makabanoutyayin e: Mankoutsiny varky e pampoum: Agretsoum-i arzhek-n npatakits khayts e: AI-i ogtagutyounn sharounakoum e barcr hartskapoum: Ayn gortsoum e lriv anbarakoutyounyei kanaroom:

Sa entserapetakan AI paraksel-n e: Argely npatakvoum er zgayun tvyal pashtrpanel: Aysaghen ayn AI-i ogtagutyounn myoushnoom e kaналner, vortegh tvyali pashtrpanoutyounn ankarogi e:

MCP Chnarapetyoutyounn-n Lousoum e Paraksely

Lousoumny verahskoutyoun-n e, vor hashvartsooum e AI-i ogtagutyounn, voch te argeloum: MCP Server nstooum e AI kliyenti yev modeli API-i mijyev: Amenayor prompt-ner antsnoum en ananounatsman sharjchov nakhqan ugharkvelnelu: Zgayun tvyal-n pokhokhvooum e tokens-ov: Modely stanoum e anhraje hamtekst: Ayn yerbeq chi tesnoum credential-ner, PII kam sorovakan nshanoghichner:

Nkaten ek Germanakan avtomobilayin artyadi CISO-in: Ayn pakhtanoum e hashvartsel AI kodi gortsikner 500 tsragravori hamar: Ayn nayev pakhtanoum e hamapataskvel GDPR-in: MCP Server ndhatooum e sorovakan algorithmnery nakhqan Claude-i kam GPT-4 servernerum haraghanelu: Antangoutyan timan karogi e haskhanol AI gortsiknerum: Zgayun bovandaloutyounn korporativ tsantsits durs chi linom aranc ananounatsman: Tsragravornery Cursor-n ogtagertsooum en ayinpes, inch nakhkin: Audit-i yerts tsuyts e tal te inch e ndhatvel yev pokhokhvel:

Entserapetakany lousoum e ynttroutyounn: AI gortsikner-n ardeelouyin: Teknikakan shartn ksagavorooum e tvyali pashtrpanoutyounn: Shadow AI-n nvazetsoum e, vorovic ashkhatakatsinner-y ounin haskhanaghvats, monitoringayin kanal: Ayd kanal-n tarooum e nooyn arajoghoutyan ardzounagroutyounn: CISO-n stanoum e verahskoutyounner yev audit-i mastery: Tsragravornery stanoum en AI moutk:

Paraksely anoum e: Entserapetakany stanoum e erkousny el: Tsragravori arajoghoutyan yev irakal tvyali pashtrpanoutyounn:

Tesek nayev: Inch pes e MCP Server-n karoum e PII antangoutyounn yev Samsung ChatGPT argelou depky entserapetakan AI argelumneri irakal konteksty:

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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.