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A security analyst in a multinational corporation's Threat Intelligence team is tasked with enhancing detection of stealthy malware infections. During an investigation, the analyst observes an unusually high volume of DNS requests directed toward domains that follow patterns commonly associated with Domain Generation Algorithms (DGAs). Recognizing that these automated domain queries could indicate malware attempting to establish communication with command-and-control (C2) infrastructure, the analyst realizes existing detection may be insufficient. The security team needs to define intelligence requirements, including identifying critical data sources, refining detection criteria, and improving monitoring strategies. Which stage of the Cyber Threat Intelligence (CTI) process does this align with?
This scenario aligns with requirement analysis because the team is defining what intelligence is needed and how it should be collected and used. The analyst has observed a problem (possible DGA-based malware activity) and recognizes gaps in current detection. The next step in a CTI lifecycle is to translate that concern into actionable intelligence requirements: which telemetry sources are necessary (DNS logs, proxy logs, endpoint telemetry, threat intel on DGA families), what questions must be answered (which hosts, what domains, what patterns, what time windows), and what success criteria look like (detection thresholds, false positive tolerance, enrichment needs). This is the ''direction'' phase of CTI, where priorities are set and collection needs are specified to ensure intelligence efforts align to threats that matter. ''Filtering CTI'' would be about reducing noise in collected intelligence or refining feeds after collection. ''Intelligence buy-in'' is stakeholder alignment and program support, not the analytic definition of requirements. ''Automated tool'' is not a CTI lifecycle stage. From a SOC perspective, requirement analysis is critical to turn observations into structured detection and hunting objectives that can be measured and improved.
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