In the context of EDM, which component is primarily focused on risk?

In the context of Enterprise Data Management (EDM), the component primarily focused on risk is risk optimization. This is because risk optimization involves identifying, assessing, and prioritizing risks associated with data management practices. Effective risk optimization ensures that data integrity, security, and compliance are upheld while enhancing decision-making capabilities.

By concentrating on risk optimization, organizations can better manage potential threats to their data, enabling them to maintain operational effectiveness and safeguard against data breaches or loss. This aspect is crucial since data-related risks can have severe implications on an organization's reputation and regulatory compliance.

Other components like stakeholder engagement, change management, and service support, while important in the broader picture of EDM, do not concentrate specifically on understanding or mitigating risks associated with data management. Stakeholder engagement focuses on creating strong relationships with all parts involved, change management addresses the processes involved in transitions, and service support pertains to the operational aspects of assisting users and ensuring data services run smoothly. Thus, risk optimization stands out as the key component directly aligned with managing risks in EDM.