By · Last updated 2026-06-11

AI 特定替代方案

anonym.legal vs Polymer DLP

Polymer DLP 提供 SaaS 原生数据丢失防护,扫描云应用中的敏感数据。anonym.legal 专注于 AI 提示词保护——用占位符清理敏感数据,然后将其发送到 ChatGPT、Claude、Gemini 和其他 AI 模型。

了解更多关于 Polymer DLP

功能对比

功能anonym.legalPolymer DLP
主要方式Data Sanitization (replace PII with placeholders)SaaS DLP 扫描
定价Free to €29/mo企业(联系销售)
免费额度Yes未找到
提示清理Yes部分(SaaS 中删除)
实体类型285+基于 NLP(未指定)
语言支持48 languages未指定
Reversible EncryptionAES-256-GCM未找到
SaaS 应用扫描Yes
Slack/Teams 集成Yes
浏览器插件Yes
MCP 服务器(AI 工具)Yes
桌面应用Yes
Office 集成Yes
欧盟数据驻留Germany (Hetzner)未指定
零知识认证Yes未找到

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

AI 特定保护

Purpose-built for AI prompt sanitization.

285+ 实体类型

48 languages with country-specific identifiers.

Reversible Encryption

AES-256-GCM. Decrypt for legal discovery.

多个工具

Chrome Extension, MCP Server, Desktop App, Office Add-in, LibreOffice Extension, REST API.

48 种语言

Multilingual PII detection with spaCy, Stanza, and XLM-RoBERTa.

透明定价

Free tier + plans from €3/month.

欧盟数据驻留

Germany (Hetzner). ISO 27001.

When Polymer DLP Might Be Better

Polymer DLP suits SaaS-centric data protection:

  • SaaS application scanning: Need to scan Slack, Teams, Google Workspace
  • Real-time SaaS monitoring: Want continuous monitoring of cloud app content
  • SaaS remediation: Need automated redaction within SaaS platforms
  • Compliance scanning: Require regular scans of SaaS data for compliance

常见问题解答

How do the approaches differ?

Polymer DLP scans SaaS apps for sensitive data. anonym.legal sanitizes data before sending to AI models — different protection points.

Does Polymer DLP protect AI prompts?

Polymer focuses on SaaS scanning. anonym.legal is purpose-built for AI prompt sanitization.

Can I use both?

Yes. Polymer for SaaS scanning, anonym.legal for AI prompt protection.

Which supports more languages?

anonym.legal: 48 languages. Polymer DLP: not specified.

How does pricing compare?

Polymer: enterprise-only. anonym.legal: free tier + plans from €3/month.

Does anonym.legal scan SaaS applications?

No. anonym.legal focuses on PII anonymization in documents and prompts.

免费尝试 anonym.legal

AI-specific data protection. 285+ entity types. 48 languages. Start free.

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

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

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.