Data Classification
In this process step, Data Classification is performed to categorize sensitive information into predefined categories based on its level of confidentiality, integrity, or availability. This involves analyzing the content of data, considering factors such as business value, risk, and regulatory requirements. The classification process typically involves assigning a label to each dataset, indicating its sensitivity level, for example, public, confidential, restricted, or top secret. This step helps ensure that data is handled and stored according to its designated classification level, minimizing the risk of unauthorized access or data breaches. By categorizing sensitive information, organizations can better manage their data assets, comply with regulations, and maintain data integrity throughout its lifecycle. The classified data is then used for informed decision-making and to guide further processing steps.