By George Curta · Last updated 2026-06-03
anonym.legal vs Aporia Guardrails
Aporia Guardrails 提供 GenAI 安全防护,内置 PII 策略,可检测用户消息或助手回复中的 PII。anonym.legal 是专注于 PII 匿名化的平台,支持 285+ 实体类型、可逆加密及多种界面。
了解更多关于 Aporia Guardrails
功能对比
| 功能 | anonym.legal | Aporia Guardrails |
|---|---|---|
| 主要定位 | PII Anonymization | GenAI 安全防护 |
| 定价 | Free to €29/mo | 未发现 |
| 免费额度 | Yes | 未发现 |
| PII 检测 | Yes | 是 |
| PII 屏蔽/掩码 | 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 插件 | 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 |
| GenAI 安全网关 | No | 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
使用您自己的密钥进行 AES-256-GCM 加密。可按需解密,满足审计、法院或合规检查。
285+ 实体类型
覆盖医疗、金融、法律及个人数据类别,ID 支持校验。
Chrome 插件
在发送到 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,支持各国证件校验。国际文档全球覆盖。
透明定价
免费额度 + €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。
Aporia Guardrails 适用场景
Aporia 在更广泛的 GenAI 安全防护场景表现突出:
- 多策略防护:PII 检测作为多种安全策略之一
- 响应监控:可检测用户消息及助手回复中的 PII
- ML 模型监控:更广泛的 ML 模型可观测性与验证
- 统一防护平台:多种 AI 安全策略一站式管理
常见问题解答
anonym.legal 与 Aporia Guardrails 有何不同?
anonym.legal 是专注于 PII 匿名化的平台,支持 285+ 实体类型及多种界面(API、桌面、Chrome 插件、Office 插件、MCP 服务器)。Aporia Guardrails 是 GenAI 安全防护平台,PII 检测只是众多策略之一,关注点不同。
Aporia 是屏蔽还是仅检测 PII?
根据 Aporia 文档,其 PII 策略为检测 PII 是否存在。未找到 PII 屏蔽/掩码的相关文档。anonym.legal 提供完整的检测、掩码、屏蔽、哈希及可逆加密。
anonym.legal 是否支持可逆加密?
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。Aporia Guardrails 页面未见可逆加密相关文档。
哪个平台的实体类型覆盖更广?
anonym.legal 支持 285+ 实体类型,覆盖医疗、金融、法律及个人数据,并支持校验。Aporia 的实体类型覆盖范围未在公开文档中说明。
哪个平台的语言支持更好?
anonym.legal 支持 48 种语言并校验各国证件。Aporia 的 PII 检测语言支持未在公开文档中说明。
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。
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.