By George Curta · Last updated 2026-06-11
anonym.legal vs DTEX Systems
DTEX Systems는 내부자 위협을 탐지하기 위해 사용자 행동을 모니터링하는 워크포스 사이버 인텔리전스를 제공합니다. anonym.legal은 데이터 변환에 중점을 둡니다. AI 도구를 사용하는 직원을 모니터링하지 않고 안전하게 사용할 수 있도록 PII를 자리표시자로 바꿉니다.
더 알아보기: DTEX Systems
기능 비교
| 기능 | anonym.legal | DTEX Systems |
|---|---|---|
| 기본 접근 방식 | Data Sanitization (replace PII with placeholders) | 워크포스 모니터링 |
| 프롬프트 살균 | Yes | 아니오 |
| 가격 | Free to €29/mo | 엔터프라이즈 (영업팀에 문의) |
| 사용자 행동 분석 | No | 예 (AI 기반) |
| 에이전트 설치 | No (browser-based + optional desktop app) | 예 (경량 에이전트) |
공개된 정보를 기반으로 한 비교입니다. "찾을 수 없음"은 제품 페이지에 해당 기능이 문서화되어 있지 않음을 의미합니다. 마지막 업데이트: 2026년 2월.
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
- Common questions
- Glossary
- How tokens work
- Security posture
- Where we comply
- What we detect
- Case studies
- Release notes
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
- Open the web app and try a sample file.
- Learn how credits get counted.
- See current plans and limits.
- Meet the team behind the product.
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.