A financial enterprise operating multiple Google Cloud projects under an organization resource needs to establish centralized audit logging and threat detection. The compliance team mandates that all Data Access audit logs across the entire organization must be continuously archived to a secure BigQuery dataset in a dedicated security project. Additionally, the security operations team requires real-time detection of anomalous user activities and unauthorized IAM modifications without introducing operational overhead for agent deployment. Which TWO configurations should the cloud architect implement to fulfill these requirements?
- Create an organization-level aggregated log sink configured with an inclusion filter for Data Access logs targeting the centralized BigQuery dataset, managed via a dedicated writer service account.Cevap
- BGrant Owner primitive IAM roles to project administrators across child projects so they can manually create local log sinks targeting the central BigQuery dataset.
- Enable Security Command Center Premium to leverage Event Threat Detection for analyzing log streams in real time for suspicious IAM changes and potential threats.Cevap
- DConfigure an organization-wide Cloud Logging exclusion filter to drop all Data Access audit logs before ingestion to reduce storage costs while relying on basic Cloud Monitoring alerts for threat detection.
Cevap
The correct architecture requires creating an organization-level aggregated log sink targeting BigQuery for centralized Data Access audit log retention, and enabling Security Command Center Premium to utilize Event Threat Detection for near real-time analysis of Cloud Audit Logs.
The solution combines organization-level aggregated log sinks for automated, central BigQuery archiving of Data Access audit logs with Security Command Center Premium Event Threat Detection for agentless, real-time threat monitoring across all audit log events.
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Organization-level aggregated log sinks and Security Command Center Event Threat Detection