A data-driven risk assessment approach involves identifying and analyzing the organization's data assets, understanding the data flows, and assessing the risks associated with the confidentiality, integrity, and availability of the data. This approach allows for a focused examination of the specific data elements and their associated risks, which can be crucial for organizations that heavily rely on data processing and storage.
By understanding the criticality and sensitivity of different types of data, the organization can prioritize its security efforts and implement appropriate safeguards to protect the data. This approach aligns with the principle of risk-based decision-making, where resources are allocated based on the potential impact and likelihood of data-related risks.
In summary, both option B: Business processes based risk assessment with a focus on business goals and option D: Data-driven risk assessment with a focus on data can be effective approaches for conducting the risk assessment as part of developing an SMP. The choice between these approaches will depend on the specific needs, priorities, and nature of the organization.