By George Curta · Last updated 2026-04-07
Bandingkan Alat Anonimisasi PII
Perbandingan ciri objektif untuk membantu anda memilih platform pengesanan dan anonimisasi PII yang tepat untuk keperluan anda.
anonym.legal vs PII Tools
Platform penemuan PII untuk perusahaan
anonym.legal vs Private AI
Platform privasi perusahaan
anonym.legal vs Google Cloud DLP
Perlindungan data sensitif berasaskan awan
anonym.legal vs Amazon Comprehend
Perkhidmatan NLP AWS dengan pengesanan PII
anonym.legal vs Azure AI Language
Microsoft Cognitive Services PII
anonym.legal vs Microsoft Presidio
SDK pengesanan PII sumber terbuka
anonym.legal vs Nightfall
Platform DLP asli AI
anonym.legal vs Skyflow
Peti Privasi Data / Tokenisasi
anonym.legal vs Protecto
Peti privasi untuk GenAI
anonym.legal vs Redactable
Perisian pengeditan dokumen AI
anonym.legal vs Strac
SaaS DLP dan penemuan data
anonym.legal vs Lakera Guard
Garis panduan keselamatan LLM
anonym.legal vs Prompt Security
Platform keselamatan GenAI
anonym.legal vs Harmonic Security
Pengurusan AI & pintu MCP
anonym.legal vs Lasso Security
Platform keselamatan AI
anonym.legal vs Basis Theory
Tokenisasi & peti data
anonym.legal vs Portkey Guardrails
Pintu LLM dengan garis panduan PII
anonym.legal vs Aporia Guardrails
Platform garis panduan GenAI
anonym.legal vs LayerX
Keselamatan penyemak imbas perusahaan & DLP GenAI
anonym.legal vs Metomic
DSPM untuk aplikasi SaaS
anonym.legal vs John Snow Labs
Deidentifikasi PHI penjagaan kesihatan
anonym.legal vs Evervault
Penyulitan pembayaran & perbankan
anonym.legal vs Cloudflare AI
Perlindungan permintaan AI tepi
anonym.legal vs Cyera
Platform DSPM asli AI
anonym.legal vs Datavant
Deidentifikasi penjagaan kesihatan
anonym.legal vs CaseGuard
Pengeditan dokumen & video
anonym.legal vs Zscaler GenAI
Kawalan GenAI SSE perusahaan
anonym.legal vs Kong AI Gateway
Pintu API dengan PII sanitiser
anonym.legal vs AWS Macie
Penemuan data S3 & DSPM
anonym.legal vs Microsoft Purview
Platform DSPM perusahaan
anonym.legal vs AssemblyAI
Ubah suara kepada teks PII
anonym.legal vs Philter
Pengeditan PII sumber terbuka
anonym.legal vs Rubrik
DSPM dengan integrasi sandaran
anonym.legal vs ARX Data Anonymization
Alat k-anonimitas sumber terbuka
anonym.legal vs Matomo
Analitik web berfokuskan privasi
anonym.legal vs TAGGRS
Penginapan penjejakan sisi pelayan
anonym.legal vs Teramind
Platform pemantauan karyawan dan DLP pengesanan tingkah laku
anonym.legal vs Netwrix Endpoint Protector
DLP titik akhir dengan kawalan salin-tampal penyemak imbas
anonym.legal vs Wald.ai
Pintu DLP AI perusahaan dengan redaksi sedar konteks
anonym.legal vs Forcepoint DLP
DLP perusahaan dengan CASB dan pemantauan AI
anonym.legal vs Trellix DLP
Platform DLP perusahaan (dahulu McAfee DLP)
anonym.legal vs Symantec DLP
DLP perusahaan oleh Broadcom
anonym.legal vs Digital Guardian
DLP titik akhir dan keterlihatan data oleh Fortra
anonym.legal vs Code42 Incydr
Pengurusan risiko orang dalam dan pengesanan pelarian data
anonym.legal vs DTEX Systems
Perisikan tenaga kerja dan pengurusan ancaman orang dalam
anonym.legal vs Safetica
DLP titik akhir Eropah dan perlindungan ancaman orang dalam
anonym.legal vs Polymer DLP
DLP asli SaaS untuk aplikasi awan
anonym.legal vs Redact PDF AI
competitors.redact-pdf-ai.tagline
anonym.legal vs Caviard.ai
competitors.caviard-ai.tagline
Perbandingan Cepat
| Ciri | anonym.legal | PII Tools | Private AI | Comprehend | Presidio |
|---|---|---|---|---|---|
| Harga Permulaan | Free / €3/mo | $800/mo | Perusahaan | Bayar mengikut penggunaan | Percuma (DIY) |
| Jenis Entiti | 285+ | Tidak Diketahui | 50+ | ~30 | ~55 |
| Bahasa | 48 | Terhad | 50+ | 2 (PII) | 10+ |
| Penyulitan Boleh Balik | Ya | Tidak | Tidak | Tidak | Tidak |
| Sambungan Chrome | Ya | Tidak | Tidak | Tidak | Tidak |
| Pelayan MCP (Alat AI) | Ya | Tidak | Tidak | Tidak | Tidak |
| Residensi Data EU | Jerman | Tidak Diketahui | Pilihan | Default AS | Dihoskan Sendiri |
Data dikumpulkan dari sumber yang tersedia untuk umum. Terakhir dikemas kini Februari 2026.
Sedia untuk Mencuba anonym.legal?
Mulakan dengan pelan percuma kami. Tiada kad kredit diperlukan.
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.