In public administrations as in many professions handling sensitive data, there are discreet but essential actions: proofreading a report line by line, tracking down a name, a date, an address, or an overly specific clue. Crossing out, blurring, replacing. Protecting.
Because behind every document lie life stories: a family in difficulty, fragile health, a strained financial situation. These reports must never become exposed identities. Yet, they must be shared: transmitted to other departments, communicated to partners, sometimes even made public.
This task is delicate. And now, artificial intelligence can lend a hand.
Anonymizing: much more than masking a name
It is often believed that anonymization consists of erasing a first name or masking a social security number. But it is much more subtle. A person’s identity can show through a location, a date, a family connection, or even a simple turn of phrase.
It is to address this complexity that Digitech designed DINA, an artificial intelligence orchestrator designed to process documents with precision and ethics.
DINA: understanding rather than censoring
Far from being a black box, DINA organizes AI processing transparently. In the case of anonymization, it reads documents like an attentive human would:
- it detects names, but also professional structures, family ties, and implicit clues;
- it adapts its processing to the context;
- it suggests a rewording to preserve the readability of the text;
- it maintains a record of its actions with complete traceability.
The result: intelligent anonymization that protects data without altering the meaning.
Ethics at the heart of AI
The evolution of regulations—GDPR, Swiss nLPD, European AI Act—imposes more rigor, transparency, and explainability in data processing.
With DINA, every action is logged. Our solutions never exclude humans: they assist them. Every document can be reviewed, validated, and corrected.
It is a responsible AI that serves to build trust.
An intelligence that speaks the language of the business
What distinguishes DINA from generic solutions is its ability to understand business contexts. Whether it involves medical reports, social files, or legal documents, it identifies the subtleties specific to each sector.
In this sense, DINA carves out a unique path: that of an artificial intelligence that protects confidentiality, respects regulations, and, above all, preserves meaning.
Conclusion: anonymization as a guarantee of trust
Anonymization should not be perceived as an administrative constraint. With DINA, it becomes a lever for responsibility, ethics, and trust. An AI that does not just erase data, but protects what it represents: lives, stories, and identities.
