By George Curta · Last updated 2026-06-03
anonym.legal vs ARX Data Anonymization
ARX 是一款开源桌面工具,采用 k-匿名性对表格数据集进行统计匿名化。anonym.legal 可实时检测非结构化文本中的 PII。两者适用场景不同。
了解更多关于 ARX Data Anonymization
功能对比
| 功能 | anonym.legal | ARX Data Anonymization |
|---|---|---|
| 定价 | Free to €29/mo | 免费(开源) |
| 许可证 | Yes | Apache License 2.0 |
| 主要用途 | Yes | 表格数据集匿名化 |
| 实时文本检测 | Yes | 否 |
| k-匿名性 | No | 是 |
| l-多样性 / t-接近性 | Yes | 是 |
| 差分隐私 | No | 是 |
| NER 检测 | Yes | 否 |
| 实体类型 | 285+ | 属性自定义 |
| 语言支持 | 48 languages | 语言无关(基于数据) |
| 部署方式 | Yes | 桌面(自托管) |
| Web 应用 | Yes | 否 |
| 桌面应用 | Yes | 是 |
| Chrome 插件 | Yes | 否 |
| Office 插件 | Yes | 否 |
| API 接口 | Yes | Java API |
| 风险分析工具 | Yes | 是 |
| HIPAA Safe Harbor | Yes | 是 |
| 可逆加密 | AES-256-GCM | 否 |
| 零知识认证 | Yes | 不适用(离线) |
本对比基于公开可获得的信息。“未找到”表示产品页面未有相关功能说明。最后更新于2026年2月。
为什么选择anonym.legal
实时文本检测
可在输入时检测非结构化文本中的 PII。ARX 仅适用于已结构化的表格数据。
AI 聊天保护
Chrome 插件可在数据发送至 ChatGPT、Claude 或 Gemini 前拦截。ARX 不支持此场景。
可逆加密
AES-256-GCM 加密,后续可解密。ARX 采用不可逆泛化与抑制。
285+ 实体类型
内置识别姓名、社保号、信用卡、医疗 ID 及各国证件,支持 48 种语言。
无需配置
托管云服务,无需安装 Java,无需配置。注册即可用。
零知识安全
您的密码永不离开本地设备。即使服务器被攻破,您的凭证依然安全。
常见问题解答
ARX 与 anonym.legal 的主要区别是什么?
ARX 针对表格数据集采用 k-匿名性和差分隐私进行统计匿名化。anonym.legal 可实时检测和匿名化非结构化文本中的 PII。ARX 适合数据科学家用于数据集发布,anonym.legal 适合保护文档、邮件和 AI 对话中的敏感信息。
ARX 是否免费且开源可供商业使用?
是的。ARX 是基于 Apache License 2.0 的开源软件,可免费下载和使用。anonym.legal 提供 200 个免费令牌,付费套餐起价 €3/月。
ARX 能检测文本中的姓名和社保号吗?
ARX 不适用于实时文本 PII 检测。它仅适用于已结构化表格数据,需用户指定哪些列为准标识符。若需检测非结构化文本中的 PII,建议使用 anonym.legal,结合 NER 和模式匹配。
anonym.legal 是否支持表格数据集的 k-anonymity?
不支持。anonym.legal 采用替换、掩码、屏蔽、哈希和可逆加密等方法。k-匿名性是表格数据的统计隐私模型,不适用于文本匿名化。
HIPAA 合规应选用哪款工具?
两者均支持 HIPAA。ARX 内置结构化数据的 18 项 HIPAA 标识符检测。anonym.legal 可检测非结构化文本中的全部 18 项 HIPAA 标识符,并支持可逆加密授权访问。数据集发布建议用 ARX,文档与沟通保护建议用 anonym.legal。
anonym.legal 是否支持零知识认证?
支持。anonym.legal 采用 Argon2id 和 HKDF 的零知识认证。您的密码仅在本地处理——服务器只接收数学证明,绝不会传输真实密码。ARX 为离线桌面软件,无需认证。
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.