Which of the following should a risk practitioner review FIRST when evaluating risk events associated with the organization's data flow model?

Data classification results provide critical information about the sensitivity, value, and regulatory requirements associated with different types of data within the organization. Understanding data classification is fundamental because it dictates the appropriate security controls, access policies, and retention requirements, thus enabling a practitioner to effectively identify and prioritize risks associated with data as it flows through systems.

While changes to enterprise architecture can introduce new risks, understanding what data is being protected and its importance (via classification) precedes reviewing architecture changes.

High-level network diagrams illustrate data pathways but do not inherently convey the sensitivity or criticality of the data flowing through them, which is essential for risk evaluation.

Interviews with data owners provide valuable context, but the formalized output of data classification activities provides a structured, comprehensive understanding of data sensitivity across the organization.