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A cybersecurity firm develops a proprietary threat intelligence feed that delivers highly granular IOCs (IPs, domains, hashes, TTPs) with a confidence score and expiration time via a custom REST API that requires token-based authentication. They want to provide this feed to their XSIAM customers, enabling automated enrichment and proactive blocking. The integration must be robust, scalable, and ensure that IOCs are periodically refreshed and expired ones are removed from XSIAM. Which specific XSIAM integration components and logic should be recommended to their customers, and what are the critical design considerations for maintaining the freshness and accuracy of the IOCs in XSIAM?
Correct Answer: B
For a proprietary threat intelligence feed with custom APIs and dynamic expiration, the most effective and scalable solution for XSIAM customers is to leverage XSIAM Playbooks with 'Code' tasks. This allows for direct, authenticated interaction with the custom REST API, precise parsing of the granular IOCs, and accurate mapping to XSIAM 'Indicator' objects. Critically, the playbook can be scheduled to run periodically to refresh the feed and, importantly, manage expiration. The Python script within the playbook can query for indicators past their expiration time (or those flagged as expired by the feed) and update their status (e.g., 'set 'lifeCycleStatus': 'retired"). Key design considerations include securely storing the API token within XSIAM's vault, implementing robust error handling for API connectivity and data parsing, and efficiently processing potentially large volumes of IOCs. Proper mapping of custom IOC fields (like confidence scores and TTPs) to XSIAM's indicator attributes is vital for maximizing their utility in XSIAM's analytics and automation.