As AI chatbots handle increasing amounts of customer data, GDPR compliance isn't optional — it's essential. Here's what businesses need to know about deploying privacy-compliant AI chatbots in 2026.

GDPR and AI Chatbots: The Key Requirements

Lawful basis for processing — You need consent or legitimate interest to process personal data through your chatbot
Data minimization — Only collect data necessary for the conversation purpose
Right to erasure — Users can request deletion of their conversation history
Transparency — Users must know they're talking to an AI and how their data is used
Data security — Conversations must be encrypted and stored securely

How Kodda Ensures GDPR Compliance

Tenant Isolation

Every customer's data is fully isolated — documents, conversation logs, and vector embeddings are never shared across tenants. This is foundational, not optional.

Encryption at Rest and in Transit

All data is encrypted using industry-standard protocols. API keys, session tokens, and stored documents are all protected.

Self-Hosting Option

For businesses with strict data sovereignty requirements, Kodda supports self-hosted deployment on your own infrastructure — keeping all data within your control and jurisdiction.

Custom LLM Endpoints

Connect your own LLM and embedding endpoints, ensuring data never leaves your approved infrastructure.

Practical Steps for GDPR-Compliant Deployment

Update your privacy policy — Disclose AI chatbot usage, data collected, and retention periods
Add a chatbot consent banner — Inform users they're interacting with AI
Configure data retention — Set conversation log retention periods aligned with your policy
Enable data export and deletion — Provide mechanisms for users to exercise their data rights
Conduct a DPIA — Document your data protection impact assessment for chatbot processing

Private AI vs. Public Models

Public AI models (like ChatGPT) process data on shared infrastructure with limited control. Private AI solutions like Kodda give you full visibility into where data flows, how it's stored, and who can access it — critical for GDPR compliance. Learn more about private AI architecture.

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