隐私工具培训：用预设将数周压缩为数小时
隐私工具的入职培训通常需要2—4周，第一周配置错误率高达22%。可共享的预设配置将培训时间压缩至1天，年度培训成本降低75%。
MSP如何跨数十家GDPR客户规模化隐私合规实践
为多家客户提供服务的MSP和合规顾问，无法在大规模场景下为每个客户手动重新配置PII工具。共享预设库可将每次客户接入时间从3小时缩短至15分钟，实现12倍效率提升。
隐私软件中的透明定价如何建立信任
67% 的 B2B 采购者更倾向于定价透明的供应商，43% 的采购者会淘汰需要联系销售才能获取定价信息的供应商。
自由职业数据从业者 GDPR 匿名化实操指南
自由职业者和独立数据承包商面临合规盲区：专为企业设计的订阅定价无法适配每月处理 3 个客户数据集的工作模式。本指南提供可落地的解决方案。
以创业预算实现企业级 PII 合规
企业级数据匿名化工具起价 €800/月，开源方案需要 Python 专业知识。这一价格鸿沟让数百万中小企业、个人从业者和创业公司陷入合规困境。
初创公司的 PII 匿名化工具：如何告别天价企业许可费
Informatica、BigID 等企业级 PII 工具专为财富 500 强企业设计，年授权费动辄六位数。而欧盟 99% 的企业都是中小企业，GDPR 对所有规模的企业一视同仁。
ISO 27001 如何帮助企业通过安全问卷审查并赢得大额合同
Gartner 2024 年研究显示，52% 的大型企业安全采购流程要求供应商持有 ISO 27001 认证。在金融、医疗、法律等强监管行业，这一比例高达 80% 至 90%。
政府采购中的 ISO 27001：SaaS 供应商入门指南
美国联邦云服务合同需要 FedRAMP 授权，审批周期长达 12 至 24 个月。对于欧盟和英国政府机构而言，ISO 27001 通常是被广泛接受的等效认证标准。
DORA 法规下的 ICT 供应商管理与 ISO 27001
DORA 于 2025 年 1 月正式生效，要求金融机构对每家科技供应商进行年度审查。ISO 27001 认证可将每家供应商的审查工时从 40 至 80 小时大幅压缩至数小时以内。
ISO 27001 在供应链下游合规中的价值
没有 ISO 27001 认证，小型供应商每填写一份企业问卷需耗费 40 到 80 小时。企业订单的流失，往往并非因为产品不安全，而是因为无法及时提供合规证明。
ISO 27001 如何缩短企业级销售周期
一家全球金融服务公司要求供应商统一采用 ISO 27001 后，调查问卷填写时间缩短了 52%。77% 的企业采购团队将 ISO 27001 列为首要认证要求。
财务审计中的可逆加密
2026 年 2 月南区联邦法院裁定：AI 处理的文件若未在处理前进行匿名化，将丧失律师-客户特权保护。
交易大厅：离线匿名化合规实践
交易大厅无法使用云端SaaS提交合规文件。美国律师协会第512号正式意见要求防止电子发现中的意外信息泄露，并保留完整的数据处理记录。
94%的中小企业遭受攻击：经济实惠的隐私保护
中小企业面临与大型企业相同的威胁，却负担不起每月800美元以上的工具费用。了解如何以每月仅需€3的价格获得企业级隐私保护。
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 company HQ is in Saarbrücken, Germany. Our servers run in Hetzner's Falkenstein datacenter.
Hetzner holds 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.