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))
WP29 high-risk criteria

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	30 days
Rectification	Art. 16	30 days
Erasure	Art. 17	30 days
Restriction	Art. 18	30 days
Portability	Art. 20	30 days
Objection	Art. 21	30 days
Automated decisions	Art. 22	30 days

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
WP29 high-risk indicators
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 30 days (extendable to 90 for complex requests):

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

gdpr-dsgvo-expert

GDPR/DSGVO Expert

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