Protecting sensitive data starts with transparency and clarity: what information is available, where is it located, how sensitive is it, in what context is it used – and who is authorized to access it? Only with this overview can security measures be planned in a targeted manner, data protection implemented efficiently and investments managed effectively. Intelligent data classification provides the basis for this. Modern AI systems, such as the ContextSuite AI operating system from moresophy, enable this classification to be automated, fast and reliable – even in complex, distributed IT landscapes.

Although data is one of the most valuable corporate resources, in practice there is often no systematic basis for its classification and risk assessment.

How can order be brought to unstructured data landscapes? What role does semantic classification play? And how do companies actually benefit in terms of security, data protection requirements, efficiency and costs?

Find out the answers to these questions and more in the specialist article “Compensation for Structural Weaknesses” in the magazine KES.