gdpr-dsgvo-expert

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name: "gdpr-dsgvo-expert" description: GDPR and German DSGVO compliance automation. Scans codebases for privacy risks, generates DPIA documentation, tracks data subject rights requests with Art. 12(3) one-month deadlines. Use when running GDPR compliance assessments, privacy audits, data protection planning, DPIA generation, or data subject rights (DSAR) management (e.g., 'check this service for GDPR risks', 'track an access request deadline'). Final compliance determinations route to the DPO or legal counsel.

GDPR/DSGVO Expert

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

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Table of Contents

• Tools
  • GDPR Compliance Checker
  • DPIA Generator
  • Data Subject Rights Tracker
• Reference Guides
• Workflows

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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

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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)

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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

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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

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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

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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