Residual risk is the risk that remains after applying controls to mitigate the inherent risk. Inherent risk is the risk that exists before considering the controls. Key risk indicators (KRIs) are metricsthat measure the level and impact of risks. Risk appetite is the amount and type of risk that an organization is willing to accept in pursuit of its objectives. The failure of the data loss prevention (DLP) system to detect outgoing emails containing credit card data would most impact the residual risk, because it would increase the likelihood and impact of data leakage, data loss, and data exfiltration incidents. These incidents could cause financial, reputational, legal, and regulatory damages to the organization. The failure of the DLP system would also affect the KRIs, as they would show a higher level of risk exposure and a lower level of control effectiveness. However, the KRIs are not the risk itself, but rather the indicators of the risk. The failure of the DLP system would not directly impact the inherent risk or the risk appetite, as they are independent of the controls. The inherent risk would remain the same, as it is based on the nature and value of the data and the threats and vulnerabilities that exist. The risk appetite would also remain the same, as it is based on the organization’s culture, strategy, and stakeholder expectations. Therefore, the most impacted factor would be the residual risk, as it reflects the actual risk level that the organization faces after applying the controls. References = Risk IT Framework, ISACA, 2022, p. 131