By George Curta · Last updated 2026-06-03
anonym.legal vs Prompt Security
Prompt Security 是一款 GenAI 安全平台,专注于 LLM 安全、提示注入防护、影子 AI 防范和 AI 治理,实现 AI 全场景安全。anonym.legal 是一款 PII 匿名化平台,具备可逆加密、285+ 实体类型识别,并通过 Chrome 扩展和 MCP Server 实现 GenAI 安全。
了解更多关于 Prompt Security
功能对比
| 功能 | anonym.legal | Prompt Security |
|---|---|---|
| 主要侧重 | PII Anonymization | GenAI 安全平台 |
| 定价 | Free to €29/mo | 未公开 |
| 免费版本 | Yes | 未发现 |
| PII 检测 | Yes | 未发现 |
| PII 遮盖/去标识 | Yes | 未发现 |
| 可逆加密 | AES-256-GCM | 未发现 |
| 实体类型 | 285+ | 未说明 |
| 语言支持 | 48 languages | 未说明 |
| REST API | Yes | 未发现 |
| Chrome 扩展 | Yes | 未发现 |
| MCP Server (AI 工具) | Yes | MCP Gateway(宣称) |
| Office 插件 | Yes | 未发现 |
| 桌面应用 | Yes | 未发现 |
| 自托管选项 | No | 支持 |
| DLP 策略执行 | No | 支持 |
| GenAI 安全网关 | No | 支持 |
| 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。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,支持身份证校验和验证。
Chrome 扩展
防止影子 AI 数据泄露。在发送到 ChatGPT、Claude 或 Gemini 前于浏览器端匿名化数据。
MCP Server
通过 Model Context Protocol 原生集成 Claude Desktop。构建以隐私为先的 AI 工作流。
48 种语言
多语言实体识别,支持国家级证件校验。为国际文档提供全球覆盖。
透明定价
Free 版本 + €3-29/月套餐,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,您的凭证依然安全。
Prompt Security 更适用的场景
Prompt Security 在特定企业级 AI 安全场景下表现突出:
- 企业 AI 治理:全面可见性与治理,覆盖所有 AI 模型、代理和应用
- 自托管部署:可在自有基础设施(云端或本地)内部署安全控制
- DLP 策略执行:基于策略的 LLM 提示与响应控制
- Agentic AI 安全:为 AI 代理和自主系统提供实时、机器级安全防护
- 红队测试能力:具备 OWASP 研究团队成员和 AI 漏洞测试能力
常见问题解答
anonym.legal 和 Prompt Security 有什么区别?
anonym.legal 是一款支持多种交付方式(API、桌面端、Chrome 扩展、Office 插件、MCP Server)的 PII 匿名化平台。Prompt Security 是专注于 AI 治理、提示注入防护和影子 AI 防范的企业级 GenAI 安全平台。两者适用于不同场景。
anonym.legal 支持可逆加密吗?
支持。anonym.legal 提供 AES-256-GCM 可逆加密,您可在法律要求时解密匿名化数据。Prompt Security 的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。Prompt Security 提供企业级 AI 安全治理,支持策略执行和实时监控。
谁的语言支持更好?
anonym.legal 支持 48 种语言及国家级证件校验。Prompt Security 在 PII 检测方面的语言支持未在其产品页面公开说明。
anonym.legal 支持自托管部署吗?
目前 anonym.legal 为云托管,数据驻留于欧盟(德国)。Prompt Security 的产品页面提及支持云端和自托管部署选项。
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,从不接收真实密码。
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.