GDPR AI Compliance
GDPR AI Compliance for European Enterprises
AI tools processing personal data without a lawful basis, DPIAs, or data processing agreements put your organisation at risk of GDPR enforcement. Aona discovers AI use on covered endpoints, applies configured data-protection policies to supported interactions and provides evidence for your privacy review.
- supported data protection
- Policy-led
- input to your DPIA review
- Inventory
- evidence for privacy review
- Usage
- record retention
- Configurable
What GDPR Requires for AI Tools
GDPR applies to all processing of EU personal data, including when employees use AI tools that were never assessed by your DPO.
Lawful Basis for ProcessingArticle 6Establish a Legal Ground for AI Data Processing
Article 6 of GDPR requires a lawful basis for every instance of personal data processing. When employees use AI tools with personal data, the organisation must identify the applicable legal ground, whether consent, legitimate interest, or contractual necessity. Most consumer AI tools do not provide the contractual or technical framework needed to establish a valid lawful basis.
Data Protection Impact AssessmentsArticle 35DPIAs for AI Tools Processing Personal Data
Article 35 mandates a DPIA when processing is likely to result in high risk to individuals. New technology, scale, profiling, data sensitivity and other factors inform this assessment; using AI alone is not an automatic trigger. A DPIA must assess the necessity and proportionality of the processing, evaluate risks to data subjects, and identify measures to mitigate those risks.
Automated Decision-MakingArticle 22Rights Related to AI-Driven Decisions
Article 22 grants individuals the right not to be subject to decisions based solely on automated processing that produce legal or similarly significant effects. Organisations using AI for hiring, credit scoring, or customer segmentation must ensure human oversight, provide explanations of the logic involved, and allow individuals to contest automated decisions.
Data MinimisationArticle 5Limit Personal Data in AI Prompts
Article 5(1)(c) requires that personal data be adequate, relevant, and limited to what is necessary. When employees paste customer records, emails, or support tickets into AI tools, they often share far more personal data than required for the task. Data minimisation principles must be enforced technically, not just through policy.
Cross-Border TransfersChapter VTransfer Rules for AI Services Outside the EU
Chapter V of GDPR restricts transfers of personal data to countries outside the EU/EEA that do not provide adequate protection. Many AI tools, including ChatGPT, Claude, and Gemini, are operated by US-based companies. Organisations must ensure appropriate safeguards such as Standard Contractual Clauses (SCCs) or adequacy decisions are in place before personal data is processed by these services.
The Shadow AI Problem Under GDPR
Employees are adopting AI tools faster than privacy teams can assess them. These tools frequently process EU personal data without the safeguards GDPR requires.
US-Based AI Tools with EU Data
Employees routinely use ChatGPT, Gemini, and other US-based AI tools to process customer emails, support tickets, and internal documents containing EU personal data, often without Standard Contractual Clauses or any data processing agreement in place.
ChatGPT Storing Conversation Data
By default, ChatGPT stores conversation data for model training. When employees enter personal data of EU residents into ChatGPT, that data may be retained, processed for purposes beyond the original intent, and stored outside the EU, all without a lawful basis.
AI Tools Without DPAs
Many AI tools used by employees lack proper Data Processing Agreements (DPAs) as required by Article 28. Without a DPA, the organisation has no contractual control over how the AI vendor processes personal data, no audit rights, and no guarantees on data deletion or sub-processor management.
Aona in practice
From requirement to a practical control
Make privacy decisions visible in the AI tools your employees use.
Article 5(1)(c) → data minimisationReduce personal data in prompts and files
- The requirement
- Personal data must be adequate, relevant and limited to what is necessary for the processing purpose.
- What Aona contributes
- Configure sensitive-data policies to block or redact detected information in supported AI inputs.
- Evidence to review
- Use policy settings and recorded events to review how the selected data-protection rule behaves.
- Your organisation owns
- Decide which data is necessary and test the resulting input. Redacted or pseudonymised data may still be personal data.
Article 32 → appropriate security measuresApply a defined security policy to AI use
- The requirement
- Choose technical and organisational security measures appropriate to the risks of the processing.
- What Aona contributes
- Restrict supported AI tools by team or role and apply configured data controls to supported interactions.
- Evidence to review
- Review deployed coverage, policy settings and event samples with the results of your own security testing.
- Your organisation owns
- Assess the wider risk, control access and regularly test effectiveness. Define incident handling for routes outside Aona's coverage.
Article 30 → records of processingFind AI use that belongs in your records
- The requirement
- Where Article 30 applies, maintain records that describe processing purposes, data categories, recipients and other required details.
- What Aona contributes
- Use observed AI tools and usage on covered endpoints to identify activities that need a privacy review.
- Evidence to review
- Add relevant tool and usage findings to your records of processing, with an owner and review decision.
- Your organisation owns
- Supply the purpose, lawful basis, recipient and transfer analysis. An observed tool inventory is only one input to these records.
Aona contributes employee AI controls and evidence on supported, installed paths. Your privacy team still determines lawful processing, vendor terms, transfers and any required impact assessment.
FAQ
Frequently Asked Questions
Does GDPR apply to AI tools used by employees?
Do I need a DPIA for AI tools?
Can employees use ChatGPT under GDPR?
How does GDPR Article 22 apply to AI?
Secure AI Across Your European Operations
Discover AI use on covered endpoints, configure supported data-protection controls and gather usage evidence for your GDPR review.