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
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.
The KRITIS umbrella law supplements existing IT security regulations by pursuing an all-hazards approach. In other words, protection against natural hazards, technical faults, sabotage, terrorism and other non-IT-related threats. Here you will find
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
Many risks do not arise in the cloud, but in the inventory. ITAsMa shows where systems are running, what data they process and when they were last checked.
From chatbots to scoring: every AI in a company needs measurable responsibility, clear evidence and a robust process. Those who take a structured approach now will protect data, brand value and
At the latest when companies implement several parallel AI projects, a common basis for evaluation is essential. Otherwise, different specialist areas, models and application types can hardly be compared with each other. A central
Model maps make AI comprehensible. They document the purpose, data origin, versions, performance metrics and limits of AI models. Those who use them consistently and integrate them into workflows gain auditability and
Whether for texts, code or translations: AI tools have long since arrived in everyday working life. However, many AI tools are used without the departments responsible for IT, data protection