Data that no one has deleted: A look at event sourcing and traceability

In the digital world, managing data is a key challenge. An article dealing with the fictional story *Until further notice: A story about data that no one has deleted* sheds light on the complexity of the verifiability of decisions in systems. The story illustrates how data that is not deleted can become a source of transparency and traceability – and at the same time a potential threat to data security. In practice, this means that systems based on event sourcing leave a clear trail of decision-making processes, which is essential for the analysis and understanding of processes. But traceability must always go hand in hand with the security and privacy of users, as required by the Cyber Resilience Act, which imposes higher security standards on product manufacturers. The implementation of such requirements requires not only technical measures, but also a conscious attitude towards the risks and opportunities of the digital world. At the same time, the discussion about AI shows how the world of work is changing: Andrea Nahles warns of 800,000 jobs that could be eliminated by AI, but she also emphasizes that new jobs could be created. This highlights the importance of understanding the impact of digital technologies on society and the world of work. In this context, it is particularly relevant to find solutions that ensure both the traceability of decisions and security and transparency. Anthropic’s addition of office applications to the Claude AI platform demonstrates how AI technologies can be integrated into daily work. But the challenge remains: How can such technologies be used without endangering the security and rights of users? The answer lies in a balance between innovation and responsibility. In a world where data is becoming increasingly important, the ability to understand and secure decisions is a crucial factor in the credibility and efficiency of systems. The traceability of decisions is not only a technical task, but also an ethical obligation. It makes it possible to detect errors, optimize processes and create trust – both within organizations and towards users. In this sense, the integration of event sourcing and other data-based methods is a step in the right direction. ## What this means for users The AI, Files and Infrastructure modules in xynap support data-based decision-making and traceability by providing a clear track of decision-making processes and ensuring security and transparency.