Since 2016, the BSI has been using the „Cloud Computing Compliance ”Criteria Catalogue" (C5), the German standard for secure Cloud-Services. C5:2026 marks the second major revision. The catalog now includes expanded requirements in 17 areas, new technical criteria, and a stronger focus on European regulations.
Many companies are currently making a costly mistake: they’re using AI in situations where it’s structurally the wrong solution. That’s because most business processes require a tool that reliably and transparently performs the same task—every day, for every auditor, under any regulatory framework. When rule-based automation is the smarter approach.
The sharing of participant data with event partners is common practice. Using real-world examples, we highlight the data protection considerations that must be taken into account and provide practical recommendations.
Enterprise GRC systems have been considered the standard for governance, risk, and Compliance in large organizations. In practice, however, a conflict is increasingly coming to light: The structural weaknesses of traditional enterprise GRC approaches are becoming apparent, particularly in the area of data protection.
Modern transcription systems not only convert speech into text, but also attempt to identify individual speakers. As a result, they are not only directly subject to the requirements of the GDPR, but also, in addition, the criminal law requirements. What to keep in mind during operations.
With the enactment of the Data Act Implementation Act, the Data Act will soon be effectively enforced in Germany as well. Here are the steps companies should take now to prepare.
How to turn a List of processing activities develop a tool that helps your company Transparency reduces risks and makes optimization potential visible.
The AI Regulation requires functioning governance structures. AI systems must be identified, evaluated, documented and monitored. In addition, processes must be provided in order to be able to react appropriately to incidents. How this can already be implemented today with solutions such as Ailance AI Governance.
Equivalent intelligence fundamentally changes AI governance. When an AI delivers results in a given task area that are equivalent to or better than those of a human, action is needed. Why companies now need AI registries, risk classification, model maps, DPIA workflows, and the EU AI Act—Compliance must operationalize.
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