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| Section | Weight | Objectives |
|---|---|---|
| Data management | 14% | - Validate data quality and completeness - Ingest and normalize logs and data - Manage data retention and storage - Implement Unified Data Model (UDM) |
| Platform operations | 14% | - Manage access and permissions - Manage Google Security Operations platform - Configure Security Command Center - Monitor platform health and performance |
| Incident response | 21% | - Automate response workflows - Contain and eradicate threats - Develop and use response playbooks - Investigate security incidents |
| Threat hunting | 19% | - Document and share findings - Analyze anomalies and behaviors - Use threat intelligence in hunting - Design and execute threat hunts |
| Detection engineering | 22% | - Implement threat intelligence into detections - Develop detection rules (YARA-L, Sigma) - Optimize detection logic and reduce false positives - Manage detection lifecycle |
| Observability | 10% | - Improve security visibility - Design monitoring and alerting strategies - Analyze telemetry and metrics - Report security posture and risks |
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NEW QUESTION # 36
You are implementing Google Security Operations (SecOps) for your organization. Your organization has their own threat intelligence feed that has been ingested to Google SecOps by using a native integration with a Malware Information Sharing Platform (MISP). You are working on the following detection rule to leverage the command and control (C2) indicators that were ingested into the entity graph.
What code should you add in the detection rule to filter for the domain IOCS?
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