By George Curta · Last updated 2026-06-03
anonym.legal vs Kong AI Gateway
Kong AI Gateway是一款API网关,负责治理和保护LLM流量,支持可选PII Sanitizer插件检测和脱敏敏感数据。anonym.legal是一站式PII匿名化平台,具备可逆加密、285+实体类型及用户级工具,可在数据共享给AI前进行转换。
了解更多关于 Kong AI Gateway
功能对比
| 功能 | anonym.legal | Kong AI Gateway |
|---|---|---|
| PII检测 | Yes | 支持 |
| PII脱敏/匿名化 | Yes | 支持 |
| 可逆加密 | AES-256-GCM | 未发现 |
| 实体类型 | 285+ | 未公开 |
| 支持语言 | Yes | 未公开 |
| REST API | Yes | 支持 |
| MCP服务器 | Yes | 未发现 |
| Chrome扩展 | Yes | 未发现 |
| Office插件 | Yes | 未发现 |
| 桌面应用 | Yes | 未发现 |
| GenAI安全网关 | No | 支持 |
| 自部署选项 | No | 支持 |
| 欧盟数据驻留 | Germany (Hetzner) | 未公开 |
| 免费额度 | Yes | 未公开 |
| 起始价格 | Free / €3/mo | 联系销售 |
| 零知识认证 | Yes | — |
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
覆盖医疗、金融、法律及个人数据类别,支持ID校验。
Chrome扩展
在发送至ChatGPT、Claude或Gemini前保护数据。浏览器级AI工作流匿名化。
MCP服务器
通过Model Context Protocol与Claude Desktop原生集成。构建隐私优先AI工作流。
48种语言
多语言实体识别,支持各国ID校验。全球文档全覆盖。
透明定价
Free+€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。即使我们的服务器被攻破,您的凭据依然安全。
以下场景建议选择Kong AI Gateway:
- 完整API网关,支持LLM流量管理
- 自部署Docker环境
- 与现有Kong基础设施集成
- 集中API治理与限流
- 完全掌控LLM代理路由
常见问题解答
Kong AI Gateway与anonym.legal有何不同?
Kong AI Gateway是一款API网关,专注于基础设施层的LLM流量管理与治理。anonym.legal是一站式PII匿名化平台,提供终端用户工具(Chrome扩展、Office插件、桌面应用),可在数据共享给AI服务前进行敏感数据转换。
Kong的PII Sanitizer支持可逆匿名化吗?
Kong的PII Sanitizer插件可检测和脱敏PII,但其公开产品页未见可逆标记化相关说明。anonym.legal提供AES-256-GCM可逆加密,适用于需恢复原值的场景。
两者可以配合使用吗?
可以。Kong可负责LLM流量的API路由与限流,anonym.legal可在网关前进行预处理匿名化,或为终端用户提供直接AI交互保护。两者分别覆盖AI安全的不同层级。
欧盟数据驻留如何?
anonym.legal所有数据均在德国(Hetzner基础设施)处理,无美国云服务商介入。Kong可自部署,数据驻留取决于您的部署配置。
哪种方案更具性价比?
anonym.legal透明定价,起步€3/月并有免费额度。Kong需联系销售,通常为企业授权。如未使用Kong基础设施,anonym.legal入门门槛更低。
anonym.legal支持零知识认证吗?
支持。anonym.legal采用Argon2id和HKDF实现零知识认证。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.