技能 编程开发 GDPR/隐私合规专家系统

GDPR/隐私合规专家系统

v20260612
gdpr-dsgvo-expert
本工具提供GDPR和德国DSGVO合规的自动化解决方案。它能扫描代码库识别个人数据风险(如PII、特殊数据),生成数据保护影响评估(DPIA)文档,并系统地管理数据主体权利请求(DSAR),确保企业流程符合严格的法律时限要求。
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概览

GDPR/DSGVO Expert

Tools and guidance for EU General Data Protection Regulation (GDPR) and German Bundesdatenschutzgesetz (BDSG) compliance.


Table of Contents


Tools

GDPR Compliance Checker

Scans codebases for potential GDPR compliance issues including personal data patterns and risky code practices.

# Scan a project directory
python scripts/gdpr_compliance_checker.py /path/to/project

# JSON output for CI/CD integration
python scripts/gdpr_compliance_checker.py . --json --output report.json

Detects:

  • Personal data patterns (email, phone, IP addresses)
  • Special category data (health, biometric, religion)
  • Financial data (credit cards, IBAN)
  • Risky code patterns:
    • Logging personal data
    • Missing consent mechanisms
    • Indefinite data retention
    • Unencrypted sensitive data
    • Disabled deletion functionality

Output:

  • Compliance score (0-100)
  • Risk categorization (critical, high, medium)
  • Prioritized recommendations with GDPR article references

DPIA Generator

Generates Data Protection Impact Assessment documentation following Art. 35 requirements.

# Get input template
python scripts/dpia_generator.py --template > input.json

# Generate DPIA report
python scripts/dpia_generator.py --input input.json --output dpia_report.md

Features:

  • Automatic DPIA threshold assessment
  • Risk identification based on processing characteristics
  • Legal basis requirements documentation
  • Mitigation recommendations
  • Markdown report generation

DPIA Triggers Assessed:

  • Systematic monitoring (Art. 35(3)(c))
  • Large-scale special category data (Art. 35(3)(b))
  • Automated decision-making (Art. 35(3)(a))
  • EDPB-endorsed high-risk criteria (WP248 rev.01)

Data Subject Rights Tracker

Manages data subject rights requests under GDPR Articles 15-22.

# Add new request
python scripts/data_subject_rights_tracker.py add \
  --type access --subject "John Doe" --email "john@example.com"

# List all requests
python scripts/data_subject_rights_tracker.py list

# Update status
python scripts/data_subject_rights_tracker.py status --id DSR-202601-0001 --update verified

# Generate compliance report
python scripts/data_subject_rights_tracker.py report --output compliance.json

# Generate response template
python scripts/data_subject_rights_tracker.py template --id DSR-202601-0001

Supported Rights:

Right Article Deadline
Access Art. 15 One month (Art. 12(3))
Rectification Art. 16 One month (Art. 12(3))
Erasure Art. 17 One month (Art. 12(3))
Restriction Art. 18 One month (Art. 12(3))
Portability Art. 20 One month (Art. 12(3))
Objection Art. 21 One month (Art. 12(3))
Automated decisions Art. 22 One month (Art. 12(3))

Features:

  • Deadline tracking with overdue alerts
  • Identity verification workflow
  • Response template generation
  • Compliance reporting

Reference Guides

GDPR Compliance Guide

references/gdpr_compliance_guide.md

Comprehensive implementation guidance covering:

  • Legal bases for processing (Art. 6)
  • Special category requirements (Art. 9)
  • Data subject rights implementation
  • Accountability requirements (Art. 30)
  • International transfers (Chapter V)
  • Breach notification (Art. 33-34)

German BDSG Requirements

references/german_bdsg_requirements.md

German-specific requirements including:

  • DPO appointment threshold (§ 38 BDSG - 20+ employees)
  • Employment data processing (§ 26 BDSG)
  • Video surveillance rules (§ 4 BDSG)
  • Credit scoring requirements (§ 31 BDSG)
  • State data protection laws (Landesdatenschutzgesetze)
  • Works council co-determination rights

DPIA Methodology

references/dpia_methodology.md

Step-by-step DPIA process:

  • Threshold assessment criteria
  • EDPB-endorsed high-risk indicators (WP248 rev.01)
  • Risk assessment methodology
  • Mitigation measure categories
  • DPO and supervisory authority consultation
  • Templates and checklists

Workflows

Workflow 1: New Processing Activity Assessment

Step 1: Run compliance checker on codebase
        → python scripts/gdpr_compliance_checker.py /path/to/code

Step 2: Review findings and compliance score
        → Address critical and high issues

Step 3: Determine if DPIA required
        → Check references/dpia_methodology.md threshold criteria

Step 4: If DPIA required, generate assessment
        → python scripts/dpia_generator.py --template > input.json
        → Fill in processing details
        → python scripts/dpia_generator.py --input input.json --output dpia.md

Step 5: Document in records of processing activities

Workflow 2: Data Subject Request Handling

Step 1: Log request in tracker
        → python scripts/data_subject_rights_tracker.py add --type [type] ...

Step 2: Verify identity (proportionate measures)
        → python scripts/data_subject_rights_tracker.py status --id [ID] --update verified

Step 3: Gather data from systems
        → python scripts/data_subject_rights_tracker.py status --id [ID] --update in_progress

Step 4: Generate response
        → python scripts/data_subject_rights_tracker.py template --id [ID]

Step 5: Send response and complete
        → python scripts/data_subject_rights_tracker.py status --id [ID] --update completed

Step 6: Monitor compliance
        → python scripts/data_subject_rights_tracker.py report

Workflow 3: German BDSG Compliance Check

Step 1: Determine if DPO required
        → 20+ employees processing personal data automatically
        → OR processing requires DPIA
        → OR business involves data transfer/market research

Step 2: If employees involved, review § 26 BDSG
        → Document legal basis for employee data
        → Check works council requirements

Step 3: If video surveillance, comply with § 4 BDSG
        → Install signage
        → Document necessity
        → Limit retention

Step 4: Register DPO with supervisory authority
        → See references/german_bdsg_requirements.md for authority list

Key GDPR Concepts

Legal Bases (Art. 6)

  • Consent: Marketing, newsletters, analytics (must be freely given, specific, informed)
  • Contract: Order fulfillment, service delivery
  • Legal obligation: Tax records, employment law
  • Legitimate interests: Fraud prevention, security (requires balancing test)

Special Category Data (Art. 9)

Requires explicit consent or Art. 9(2) exception:

  • Health data
  • Biometric data
  • Racial/ethnic origin
  • Political opinions
  • Religious beliefs
  • Trade union membership
  • Genetic data
  • Sexual orientation

Data Subject Rights

All rights must be fulfilled within one month of receipt (Art. 12(3)). The deadline runs by calendar month, not 30 days, and may be extended by two further months for complex or numerous requests — the data subject must be informed of the extension (with reasons) within the first month:

  • Access: Provide copy of data and processing information
  • Rectification: Correct inaccurate data
  • Erasure: Delete data (with exceptions for legal obligations)
  • Restriction: Limit processing while issues are resolved
  • Portability: Provide data in machine-readable format
  • Object: Stop processing based on legitimate interests

German BDSG Additions

Topic BDSG Section Key Requirement
DPO threshold § 38 20+ employees = mandatory DPO
Employment § 26 Detailed employee data rules
Video § 4 Signage and proportionality
Scoring § 31 Explainable algorithms
信息
Category 编程开发
Name gdpr-dsgvo-expert
版本 v20260612
大小 35.14KB
更新时间 2026-06-13
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