To achieve end-to-end automation for cloud incident response within XSIAM, leveraging its native capabilities is key. Option C is the most effective and integrated approach: 1. Ingestion: The native XSIAM AWS Data Connector is designed for efficient and reliable ingestion of various AWS logs (CloudTrail, VPC Flow Logs, GuardDuty, etc.) from their respective sources (S3, CloudWatch Logs). This is the primary and recommended method for AWS data onboarding. 2. Alert Correlation: XQL-based Correlation Rules are fundamental for creating sophisticated detections within XSIAM by correlating events across various data sources (e.g., CloudTrail showing an IAM role creation, VPC Flow Logs showing suspicious outbound traffic, and GuardDuty detecting anomalous activity). 3. Orchestrated Response: XSIAM Playbooks provide the automation engine. These playbooks can be triggered by the correlation alerts and leverage the AWS Actions app (or other relevant integrations) to perform direct remediation actions within AWS, such as updating security groups to block malicious IPs, stopping or isolating EC2 instances, or revoking compromised IAM roles. This keeps the entire workflow within XSIAM, ensuring seamless orchestration. Option A: Relies on external Lambda for ingestion and manual SOAR, which defeats XSIAM's automation purpose. Option B: Using scheduled S3 pulls introduces latency. Integrating with a third-party SOAR platform adds unnecessary complexity when XSIAM has native playbook capabilities. Option D: Cortex XDR agents are for endpoint telemetry, not for ingesting cloud service logs, and manual SSH remediation is not automation. Option E: Integrating with Security Hub is good for findings consolidation, but forwarding to a ticketing system for manual remediation falls short of the desired automation.