By George Curta · Last updated 2026-06-03
anonym.legal vs AWS Macie
AWS Macie er en datasikkerhedstjeneste, der opdager og klassificerer følsomme data i Amazon S3-buckets ved hjælp af automatiseret mønstergenkendelse og maskinlæring. anonym.legal er en PII anonymisering platform med reversibel kryptering, 285+ enhedstyper og brugerorienterede værktøjer til at transformere data, før de deles med AI.
Lær mere om AWS Macie
Funktion Sammenligning
| Funktion | anonym.legal | AWS Macie |
|---|---|---|
| PII Detektion | Yes | Ja |
| PII Redigering/Anonymisering | Yes | Ikke fundet |
| Reversibel Kryptering | AES-256-GCM | Ikke fundet |
| Enhedstyper | 285+ | Ikke dokumenteret |
| Understøttede Sprog | Yes | Ikke dokumenteret |
| DSPM / Data Discovery | No | Ja |
| REST API | Yes | Ja |
| MCP Server | Yes | Ikke fundet |
| Chrome-udvidelse | Yes | Ikke fundet |
| Office-tilføjelse | Yes | Ikke fundet |
| Desktop-app | Yes | Ikke fundet |
| EU Datasikkerhed | Germany (Hetzner) | AWS-regioner tilgængelige |
| Gratis Plan | Yes | 30-dages prøve |
| Startpris | Free / €3/mo | Pay-per-use (AWS) |
| Zero-Knowledge Auth | Yes | Ikke fundet |
Sammenligning baseret på offentligt tilgængelig information. "Ikke fundet" angiver funktion, der ikke er dokumenteret på produktets side. Sidst opdateret februar 2026.
Hvorfor Vælge anonym.legal
285+ enhedstyper med flersproget support
48 sprog til PII-detektion
Reversibel kryptering (AES-256-GCM)
Chrome-udvidelse til ChatGPT/Claude
Office-tilføjelse til Word/Excel
MCP-server til AI-agenter
EU-datasikkerhed (Tyskland)
Ofte Stillede Spørgsmål
Hvad er den primære forskel mellem AWS Macie og anonym.legal?
AWS Macie er et opdagelses- og klassificeringsværktøj, der identificerer følsomme data i S3-buckets. anonym.legal er et aktivt transformationsværktøj, der anonymiserer, krypterer og redigerer PII på tværs af enhver datakilde med brugerorienterede værktøjer.
Kan jeg bruge begge løsninger sammen?
Ja. Macie kan identificere, hvor følsomme data findes i S3, mens anonym.legal kan transformere disse data, før de deles med AI-værktøjer eller eksterne parter. De tjener komplementære formål.
Understøtter AWS Macie reversibel kryptering?
Macie fokuserer på opdagelse og klassificering, ikke datatransformation. Reversibel kryptering er ikke dokumenteret som en Macie-funktion. anonym.legal tilbyder AES-256-GCM reversibel kryptering.
Hvad hvis jeg ikke bruger AWS?
anonym.legal fungerer med enhver cloud- eller on-premise-miljø. Det er cloud-agnostisk med garanteret EU-datasikkerhed i Tyskland. Macie fungerer kun med AWS S3.
Hvilken løsning er mere omkostningseffektiv?
anonym.legal tilbyder gennemsigtig prissætning, der starter ved €3/måned med en gratis plan. Macie bruger pay-per-use AWS-prissætning, som kan variere baseret på S3-datamængden, der scannes.
Tilbyder anonym.legal zero-knowledge autentificering?
Ja. anonym.legal bruger zero-knowledge autentificering med Argon2id og HKDF. Dit kodeord behandles på din enhed — kun et matematisk bevis sendes til serveren, aldrig det faktiske kodeord.
Prøv anonym.legal gratis
Begynd at beskytte følsomme data i dag med 285+ enhedstyper, 48 sprog og reversibel kryptering.
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.