By George Curta · Last updated 2026-06-03
anonym.legal vs Basis Theory
Basis Theory 是一款面向金融科技的支付金库与令牌化平台,具备 PCI 一级合规、网络令牌和支付路由功能。anonym.legal 是一款支持可逆加密、285+实体类型、多接口的数据保护型 PII 匿名化平台。
了解更多关于 Basis Theory
功能对比
| 功能 | anonym.legal | Basis Theory |
|---|---|---|
| 核心定位 | PII Anonymization | 支付金库 / 令牌化 |
| 定价 | Free to €29/mo | 未公开 |
| 免费套餐 | Yes | 未发现 |
| PII 检测 | Yes | 未发现 |
| PII 脱敏/编辑 | Yes | 未发现 |
| 可逆令牌化 | Yes | 是 |
| 实体类型 | 285+ | 支付专用 |
| 语言支持 | 48 languages | 未说明 |
| REST API | Yes | 是 |
| Chrome 扩展 | Yes | 未发现 |
| MCP 服务器(AI 工具) | Yes | 未发现 |
| Office 插件 | Yes | 未发现 |
| 桌面应用 | Yes | 未发现 |
| PCI 一级合规 | No | 是 |
| GDPR/HIPAA 合规 | Yes | 是 |
| 零知识认证 | Yes | 未发现 |
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
可逆加密
使用您的密钥进行 AES-256-GCM 加密。审计、法院或合规审查时可解密。
285+ 实体类型
可检测医疗、金融、法律及个人数据类别中的 PII,并对证件号进行校验。
Chrome 扩展
在发送数据到 ChatGPT、Claude 或 Gemini 前保护数据。为 AI 工作流提供浏览器级匿名化。
MCP 服务器
通过 Model Context Protocol 原生集成 Claude Desktop。构建隐私优先的 AI 工作流。
48 种语言
多语言实体识别,支持各国证件号校验。全球文档全覆盖。
透明定价
免费套餐 + €3-29/月,无需销售电话,费用一目了然。
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,凭证依然安全。
何时选择 Basis Theory 更合适
Basis Theory 在支付与金融科技场景表现突出:
- 支付令牌化:专为支付卡数据设计的金库,PCI 一级合规
- 多PSP路由:单一金库路由多家支付服务商
- 网络令牌:通过网络令牌化提升授权成功率
- 订阅计费:智能支付路由与账户自动更新,降低流失
- 开发者优先:丰富的 API 和 SDK,便于支付集成
常见问题解答
anonym.legal 和 Basis Theory 有什么区别?
anonym.legal 是一款支持285+实体类型、多种交付方式(API、桌面、Chrome 扩展、Office 插件、MCP 服务器)的 PII 匿名化平台。Basis Theory 是专注于 PCI 合规和金融科技场景的支付金库与令牌化平台。两者适用场景不同。
两者都支持可逆令牌化吗?
是的,两者都支持可逆令牌化。anonym.legal 针对通用 PII 使用 AES-256-GCM 加密,Basis Theory 针对支付数据和 PCI 合规优化了令牌化。
谁更适合通用 PII 保护?
anonym.legal 更适合通用 PII,支持285+实体类型,涵盖医疗、金融、法律及个人数据。Basis Theory 专注于支付卡数据。
anonym.legal 支持支付卡令牌化吗?
anonym.legal 可检测和匿名化信用卡号,但不是 PCI 认证的支付金库。如需支付专用令牌化和 PSP 路由,Basis Theory 更专业。
谁的 AI 工具集成更好?
anonym.legal 拥有专用 Chrome 扩展和 MCP 服务器,专为 AI 工作流保护设计。Basis Theory 专注于支付基础设施,暂无 AI 相关集成。
anonym.legal 是否支持零知识认证?
是的。anonym.legal 采用 Argon2id 和 HKDF 的零知识认证。您的密码仅在本地设备处理——服务器只接收数学证明,绝不会传输真实密码。
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.