By George Curta · Last updated 2026-06-03
anonym.legal vs Lakera Guard
Lakera Guard 是一款专注于LLM应用运行时防护的AI安全平台,可防御提示注入攻击和数据泄露。anonym.legal 是一款PII匿名化平台,支持可逆加密、285+实体类型识别,并通过Chrome扩展和MCP Server为GenAI安全保驾护航。
了解更多关于 Lakera Guard
功能对比
| 功能 | anonym.legal | Lakera Guard |
|---|---|---|
| 主要侧重 | PII Anonymization | GenAI运行时安全 |
| 定价 | Free to €29/mo | 未公开 |
| Free套餐 | Yes | 未发现 |
| PII检测 | Yes | — |
| PII遮蔽/去标识化 | Yes | 有 |
| 可逆加密 | AES-256-GCM | — |
| 实体类型 | 285+ | 未说明 |
| 语言支持 | 48 languages | 未说明 |
| REST API | Yes | — |
| Chrome扩展 | Yes | — |
| MCP Server(AI工具) | Yes | — |
| Office插件 | Yes | — |
| 桌面应用 | Yes | — |
| 自托管选项 | No | — |
| DLP策略执行 | No | 有 |
| GenAI安全网关 | No | 有 |
| 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。需要时可解密,用于审计、法院命令或合规检查。
285+实体类型
跨医疗、金融、法律及个人数据类别检测PII,支持ID校验和验证。
Chrome扩展
在发送数据到ChatGPT、Claude或Gemini前进行保护。为AI工作流提供浏览器级匿名化。
MCP Server
通过Model Context Protocol与Claude Desktop原生集成。构建以隐私为核心的AI工作流。
48种语言
多语言实体识别,结合国家ID校验。为国际文档提供全球覆盖。
透明定价
Free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,您的凭据依然安全。
Lakera Guard更适用的场景
Lakera Guard在特定GenAI安全场景下表现突出:
- LLM运行时防护:保护生产环境中的LLM应用免受提示注入和越狱攻击
- 自托管部署:可在自有基础设施内部署安全控制
- DLP策略执行:基于可配置策略阻断或遮蔽敏感数据
- AI应用安全:专为GenAI应用运行时安全打造
常见问题解答
anonym.legal和Lakera Guard有何区别?
anonym.legal 是一款PII匿名化平台,支持多种交付方式(API、桌面端、Chrome扩展、Office插件、MCP Server)。Lakera Guard 是专注于保护LLM应用免受攻击和数据泄露的GenAI运行时安全平台。两者适用场景不同。
anonym.legal支持可逆加密吗?
支持。anonym.legal 提供AES-256-GCM可逆加密,您可在符合法律要求时解密匿名化数据。Lakera Guard产品页面未见可逆加密相关文档。
两者都能保护AI工作流吗?
可以,但方式不同。anonym.legal的Chrome扩展和MCP Server可在数据发送至AI工具前进行匿名化。Lakera Guard则在LLM应用运行时检测并阻断攻击及敏感数据泄露。
谁的语言支持更好?
anonym.legal支持48种语言及国家ID校验。Lakera Guard的语言支持在其产品页面未有公开说明。
anonym.legal支持自托管部署吗?
目前anonym.legal为云端部署,数据驻留于欧盟(德国)。Lakera Guard在产品页面提及自托管部署选项。
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,服务器仅接收数学证明,绝不传输明文密码。
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.