Data Privacy & GDPR Compliance for AI

Implement privacy-by-design principles in your AI/LLM applications

GDPR & AI Compliance

According to EU regulations, AI systems processing personal data must comply with GDPR requirements including transparency, data minimization, and user rights. View official guidance.

Data Minimization

Article 5(1)(c)

Collect only necessary data for AI processing
Regularly review and delete unnecessary data
Implement data retention policies
Use aggregated data where possible

Transparency

Articles 12-14

Clear privacy notices for AI data usage
Explain AI decision-making logic
Document data processing activities
Provide accessible user information

User Rights

Articles 15-22

Right to access AI-processed data
Right to rectification and erasure
Right to data portability
Right to object to AI processing

Security Measures

Article 32

Encryption of personal data
Access control implementation
Regular security assessments
Incident response procedures

Privacy Compliance Checklist

Essential requirements based on GDPR and AI Act guidelines

Data Protection Impact Assessment (DPIA)

Required for high-risk AI processing under GDPR Article 35

A DPIA is mandatory when AI processing is likely to result in high risk to individuals' rights and freedoms.

1. Describe Processing

Document nature, scope, context, and purposes of AI processing

2. Assess Necessity

Evaluate if AI processing is necessary and proportionate

3. Identify Risks

Analyze risks to individuals from AI decisions and data processing

4. Mitigation Measures

Implement controls to address identified risks

Build Privacy-First AI with ParrotRouter

ParrotRouter provides built-in privacy controls, GDPR compliance tools, and automated data protection for your AI applications. Focus on innovation while we handle privacy compliance.

References

[1] OWASP. "OWASP Top 10 for LLM Applications" (2024)
[2] NIST. "AI Risk Management Framework" (2024)
[3] Microsoft. "LLM Security Best Practices" (2024)