自动化脱敏实现GDPR合规
使用Anonify的先进脱敏软件保护个人数据并遵守GDPR。自动化检测和脱敏个人数据以保持完全合规。
GDPR workflow for document anonymization
Step 1
Personal data inventory
Upload documents and let AI flag personal data and identifiers under GDPR definitions.
Step 2
Review and redaction decision
Reviewer or DPO validates suggestions and decides what to redact or retain.
Step 3
Controlled export
Generate a version for publication, sharing, or archiving with full logging.
Step 4
Accountability and audit
Use audit trails and reporting to demonstrate decisions during internal or regulatory review.
GDPR第25条：隐私设计
Anonify通过在文档共享或发布前自动检测和脱敏个人数据来实施隐私设计。
- ✓自动检测个人数据
- ✓默认隐私实施
- ✓数据处理最小化
GDPR第32条：处理安全
我们的软件使用端到端加密，并托管在ISO 27001认证的数据中心。
- ✓ISO 27001认证数据中心
- ✓端到端加密
- ✓欧洲数据中心
GDPR合规脱敏
个人数据检测
根据GDPR定义自动检测所有类型的个人数据
合法脱敏
根据GDPR准则脱敏，具有完整可追溯性
安全处理
所有处理在安全、认证的环境中进行
Glossary for GDPR anonymization
Personal data
Any information relating to an identified or identifiable natural person, such as name, ID number, or contact details.
Anonymization
Removing or obscuring personal data so a person can no longer be identified.
Data protection by design
Privacy measures are built into the process, not added afterwards.
Audit trail
A record of who made which change, when, and on which document.
Frequently asked questions about GDPR and anonymization
Does AI replace organizational responsibility?
No. AI supports detection and suggestions. The organization remains responsible for the final redaction decision.
How does Anonify support GDPR Article 25?
By detecting and redacting personal data early, before documents are shared or published.
Where are documents processed?
Processing takes place in secure EU hosting with access controls and logging aligned with GDPR Article 32.
Can the DPO access audit information?
Yes. Audit trails and reporting support accountability for DPOs, privacy officers, and internal audit.
Test your GDPR workflow with your own documents
Start with a free trial or book a demo to discuss process, roles, and quality controls.