The problem
Every employee with an AI chat is a potential data leak.
AI makes work faster, and silently spreads customer data at the same time. Not out of bad intent, but because a prompt simply needs full context. Without a technical measure, that risk cannot be managed.
What goes wrong
Three structural problems with unfiltered AI usage.
Personal and business data in prompts
Work orders, quotes, contracts and email threads are pasted in full into AI chats. Names, addresses, BSN, IBAN, Chamber of Commerce and VAT numbers leave the organisation, often without anyone noticing.
Unknown processing at the provider
Where the input is stored, how long it is retained and who has access is, in practice, impossible to establish with external AI models. Control over your data ends the moment you hit send.
No demonstrability
During an audit or a data breach, you cannot substantiate which data was or was not shared with an AI model. Without logging of what the model actually saw, you stand empty-handed before the data protection authority.
The consequences
What one unfiltered AI prompt can cost your organisation.
Fines up to €20 million or 4% of global turnover
The GDPR allows sanctions that are severe for any company. Unlawfully disclosing personal data to a third party, such as an AI provider, falls squarely within its scope.
Reputational damage with customers
Customers entrust you with their data. If it emerges that this data ends up unfiltered in external AI models, that trust is hard to rebuild.
DPIA and data processing agreement obligations
Using AI with personal data requires a data protection impact assessment (DPIA) and processing agreements with every provider. Without a filter layer, that administration becomes unmanageable per employee and per conversation.
The problem is not AI. The problem is what AI gets to see.
AVGfilter solves that with a filter layer that makes personal and business data unreadable before every request, and restores it only afterwards. See it with your own eyes.