By George Curta · Last updated 2026-04-07
比较 PII 伪匿名工具
客观的功能比较,帮助您选择适合您需求的 PII 检测和伪匿名平台。
anonym.legal 对比 PII Tools
企业 PII 发现平台
anonym.legal 对比 Private AI
企业隐私平台
anonym.legal 对比 Google Cloud DLP
云原生敏感数据保护
anonym.legal 对比 Amazon Comprehend
AWS NLP 服务与 PII 检测
anonym.legal 对比 Azure AI Language
Microsoft 认知服务 PII
anonym.legal 对比 Microsoft Presidio
开源 PII 检测 SDK
anonym.legal 对比 Nightfall
AI 原生 DLP 平台
anonym.legal 对比 Skyflow
数据隐私库 / 令牌化
anonym.legal 对比 Protecto
GenAI 的隐私库
anonym.legal 对比 Redactable
AI 文档删除软件
anonym.legal 对比 Strac
SaaS DLP 和数据发现
anonym.legal 对比 Lakera Guard
LLM 安全护栏
anonym.legal 对比 Prompt Security
GenAI 安全平台
anonym.legal 对比 Harmonic Security
AI 治理与 MCP 网关
anonym.legal 对比 Lasso Security
AI 安全平台
anonym.legal 对比 Basis Theory
令牌化与数据库
anonym.legal 对比 Portkey Guardrails
带 PII 护栏的 LLM 网关
anonym.legal 对比 Aporia Guardrails
GenAI 护栏平台
anonym.legal 对比 LayerX
企业浏览器安全与 GenAI DLP
anonym.legal 对比 Metomic
SaaS 应用的 DSPM
anonym.legal 对比 John Snow Labs
医疗保健 PHI 去标识化
anonym.legal 对比 Evervault
支付与银行加密
anonym.legal 对比 Cloudflare AI
边缘 AI 提示保护
anonym.legal 对比 Cyera
AI 原生 DSPM 平台
anonym.legal 对比 Datavant
医疗保健去标识化
anonym.legal 对比 CaseGuard
文档与视频删除
anonym.legal 对比 Zscaler GenAI
企业 SSE GenAI 控制
anonym.legal 对比 Kong AI Gateway
带 PII 清理器的 API 网关
anonym.legal 对比 AWS Macie
S3 数据发现与 DSPM
anonym.legal 对比 Microsoft Purview
企业 DSPM 平台
anonym.legal 对比 AssemblyAI
语音转文本 PII 删除
anonym.legal 对比 Philter
开源 PII 删除
anonym.legal 对比 Rubrik
带备份集成的 DSPM
anonym.legal 对比 ARX Data Anonymization
开源 k-匿名工具
anonym.legal 对比 Matomo
注重隐私的网络分析
anonym.legal 对比 TAGGRS
服务器端跟踪托管
anonym.legal 对比 Teramind
Employee monitoring and insider threat DLP
anonym.legal 对比 Netwrix Endpoint Protector
Endpoint DLP with browser copy-paste controls
anonym.legal 对比 Wald.ai
Enterprise AI DLP gateway with context-aware redaction
anonym.legal 对比 Forcepoint DLP
Enterprise DLP with CASB and AI monitoring
anonym.legal 对比 Trellix DLP
Enterprise DLP platform (formerly McAfee DLP)
anonym.legal 对比 Symantec DLP
Enterprise DLP by Broadcom
anonym.legal 对比 Digital Guardian
Endpoint DLP and data visibility by Fortra
anonym.legal 对比 Code42 Incydr
Insider risk management and data exfiltration detection
anonym.legal 对比 DTEX Systems
Workforce cyber intelligence and insider threat management
anonym.legal 对比 Safetica
European endpoint DLP and insider threat protection
anonym.legal 对比 Polymer DLP
SaaS-native DLP for cloud applications
anonym.legal 对比 Redact PDF AI
competitors.redact-pdf-ai.tagline
anonym.legal 对比 Caviard.ai
competitors.caviard-ai.tagline
快速比较
| 功能 | anonym.legal | PII Tools | Private AI | Comprehend | Presidio |
|---|---|---|---|---|---|
| 起始价格 | Free / €3/mo | $800/mo | 企业 | 按使用付费 | 免费 (自助) |
| 实体类型 | 285+ | 未知 | 50+ | ~30 | ~55 |
| 语言 | 48 | 有限 | 50+ | 2 (PII) | 10+ |
| 可逆加密 | 是 | 否 | 否 | 否 | 否 |
| Chrome 扩展 | 是 | 否 | 否 | 否 | 否 |
| MCP 服务器 (AI 工具) | 是 | 否 | 否 | 否 | 否 |
| 欧盟数据驻留 | 德国 | 未知 | 选项 | 美国默认 | 自托管 |
数据来自公开可用的来源。最后更新于 2026 年 2 月。
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.