Implement deletion concept GDPR and ISO 27001 compliant – Practical guidance
## Deletion concept GDPR and ISO 27001 compliant implementation – Practical guidance
Compliance with GDPR and ISO 27001 is crucial for companies in the EU. Both standards set out clear requirements for the security and processing of personal data. A deletion concept is a central component in order to safely and completely delete data that is no longer needed. It is important to design this concept in such a way that it meets both the requirements of the GDPR and the guidelines of ISO 27001.
The erasure concept must first analyze the data processing in the company. It is necessary to clarify what data is stored, who processes it and what it is used for. Then it is checked whether the data is still needed or whether they have to be deleted. It is particularly important to ensure that the deletion cannot be undone. This means that the data must not only be removed from the system, but also deleted from all backups and archive systems.
Another step is documentation. Each step of the deletion process must be traceable. This is crucial not only for compliance with the GDPR, but also for external auditing at ISO 27001 certification. The documentation helps clarify the responsibilities and make the entire process transparent.
It is also important to raise awareness among employees. You need to know when and how to delete data. This can be achieved through training and clear guidelines. A well-thought-out deletion concept is therefore not only a technical project, but also an organizational task.
## What does this mean for your company? A good deletion concept helps your company meet legal requirements while ensuring the security of your data. It avoids legal risks and protects the privacy of your customers and employees: inside. At the same time, it is a step towards improving internal processes and ensuring IT security.
## How ISN/xynap supports this The xynap infrastructure is GDPR compliant and supports compliance with data protection policies. In addition, xynap’s AI tools provide support for the analysis and documentation of data processing processes.