How to turn a record of processing activities into a tool that provides your company with transparency, reduces risks and reveals optimization potential.
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.
In many companies, data protection seems to function smoothly. However, a closer look reveals that the majority of these processes are organized via email. Precisely
Data breaches are now one of the most common compliance incidents in organizations. Incidents have to be assessed, reporting obligations checked, measures documented and communication decisions made within a short space of time. We provide
In Germany, the internal data protection officer enjoys far-reaching special protection against dismissal. Anyone who appoints an employee as data protection officer is therefore making a decision with long-term consequences. What this means for
Good audit preparation requires clear responsibilities, structured evidence and transparent processes. Find out how auditors think, what weaknesses frequently occur in data protection audits and how you can
The Allianz Risk Barometer 2026 shows how the use of AI is becoming one of the biggest business risks for companies worldwide. One major problem: in many
The latest „Cyber Pulse: An AI Security Report“ from Microsoft warns against the uncontrolled use of shadow AI agents. Which concrete measures guarantee significantly higher security.
Data protection officers are facing a transformation: from regular trustee to strategic partner for AI governance. Find out why AI literacy is becoming a core competence of DPOs and what responsibility
We present a practical 5-step plan that companies can use to bring AI governance to life. Each step highlights typical stumbling blocks and provides concrete recommendations for action that can be implemented through