The General Data Protection Regulation (GDPR)
Vimmera AI develops its AI systems from the outset in compliance with the GDPR. Our architecture with controlled data flows, clear roles, encryption, logging, and the ability to operate systems entirely locally or in isolated environments is designed precisely for that purpose.
For our customers, this means: They can use AI without jeopardizing data protection. They retain control at all times over which data (including personal data) is processed, where it is stored, and how it is protected.
At the start of the project, each customer receives a DPA or an AVV (data processing agreement) in accordance with the GDPR. This also includes an overview of all TOMs (technical and organizational measures) as well as a list of the service companies that work for Vimmera AI.
Full transparency and 100% GDPR compliance are standard at Vimmera AI.
Data protection as a basic requirement for the use of AI
The General Data Protection Regulation (GDPR) is the central data protection law of the European Union. It regulates how personal data may be collected, processed, stored, and used. For companies that use AI, the GDPR is particularly relevant because AI systems often work with data that is directly or indirectly related to people — such as customer data, employee data, communication content, or usage information.
The use of AI is therefore always also a data protection issue. Anyone who does not handle this properly risks not only fines, but also a loss of trust among customers, employees, and partners.
What does the GDPR mean in the context of AI?
The GDPR requires that personal data may only be processed for clearly defined, lawful purposes. It must be adequately protected, accurate, up to date, and limited to what is necessary. Data subjects also have rights to access, rectification, erasure, and objection.
For AI systems, this means:
Data must not simply be “dumped into a model.” It must be clear where it comes from, what it is used for, how long it is stored, and who may access it. It must also remain traceable how decisions or outputs are produced when they involve personal data.
AI applications that generate or influence assessments, profiles, or decisions about people are particularly sensitive. These are subject to increased requirements for transparency, control, and human reviewability.
Why is the GDPR so important?
The GDPR protects the fundamental rights of people in an increasingly data-driven world. It ensures that companies handle personal information responsibly, prevent misuse, and create transparency.
For companies, it is also an important regulatory framework. Those who work in compliance with the GDPR minimize legal risks and strengthen the trust of customers and employees. This trust is especially crucial when using AI.
What do companies need to consider?
Companies must always know which personal data is processed in their AI systems. This includes, among other things:
- Origin of the data
- Purpose of processing
- Storage locations
- Access rights
- Retention periods
- Disclosure to third parties or external systems
In addition, technical and organizational measures must be in place to protect, anonymize, or delete data when required.
EU Data Act
Data is a central foundation of modern companies. It is created in digital services, software, documents, processes, communication systems, and AI applications. For companies to use this data sensibly, clear rules are needed: Who may use which data? How can data be made available? How is it protected? And how can a switch between digital […]
US CLOUD Act
Company data is not simply technical information. It contains knowledge, processes, customer information, contracts, internal workflows, project statuses, conversation content, decisions, and often also trade secrets. Especially when using AI, it is therefore crucial where data is processed, who may technically have access, and which legal jurisdiction a service provider is subject to. An important […]
Federal Data Protection Act (BDSG)
The national legal framework for data protection in Germany The Federal Data Protection Act, or BDSG for short, supplements the General Data Protection Regulation in Germany. While the GDPR sets out the Europe-wide uniform framework for the protection of personal data, the BDSG regulates certain national specifics and clarifications. Together, both sets of rules form […]
NIS2
The new legal framework for cybersecurity in Europe The NIS2 Directive is the new European legal framework for cybersecurity. With it, the European Union establishes binding requirements for how companies and public institutions must protect their IT systems, networks, data, and digital processes against cyberattacks, outages, and security incidents. The aim of NIS2 is to […]
The EU AI Act
The new legal framework for the use of AI in Europe The EU AI Act is the first comprehensive legal regulation for artificial intelligence worldwide. With it, the European Union is creating a binding legal framework for how AI systems may be developed, deployed, and used. The goal is to enable innovation – while at […]
The General Data Protection Regulation (GDPR)
Vimmera AI develops its AI systems from the outset in compliance with the GDPR. Our architecture with controlled data flows, clear roles, encryption, logging, and the ability to operate systems entirely locally or in isolated environments is designed precisely for that purpose. For our customers, this means: They can use AI without jeopardizing data protection. […]
NDAs at Vimmera AI
Confidentiality is just as much a matter of course for Vimmera AI as data protection and data security. Whenever sensitive, business-critical, or personal information is exchanged, it must be clearly regulated how this data is handled. That is why we generally work on the basis of binding confidentiality agreements, so-called NDAs (Non-Disclosure Agreements). As soon […]