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.
Equivalent intelligence fundamentally changes AI governance. If an AI delivers equivalent or better results than a human in a task area, there is a need for action. Why companies are now registering AI,
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
Artificial intelligence is quietly finding its way into software as an update, as part of regular version updates. For the governance of the company, this means that something is happening
Is SaaS really dead? It's not the software genre that's dying, but poor structures. The article explains what AI agents are really changing and how a solid governance foundation can
On November 19, 2025, the EU Commission presented the „Digital Omnibus” package. The aim is to simplify and harmonize the digital regulatory framework in the EU. Among other things,
AI models are interchangeable, but their effects are not. Whether a system poses a low or high risk does not depend on the technology, but on the intended use.