You identified a new malicious IP address used by a threat actor. You need to search for this IP in SecOps across all normalized logs to determine malicious activity. Which method is most effective?

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Multiple Choice

You identified a new malicious IP address used by a threat actor. You need to search for this IP in SecOps across all normalized logs to determine malicious activity. Which method is most effective?

Explanation:
The idea is to search across all normalized data efficiently using the unified data model and a rule language that can span multiple sources. Writing UDM searches that use YARA-L 2.0 syntax lets you query the standardized fields across every log type that’s normalized in SecOps, so you can find instances of the IP anywhere in the dataset with a single, scalable query. This approach leverages the consistent schema of the data and the pattern-matching power of YARA-L to surface malicious activity across all logs, rather than relying on source-specific searches or isolated rules. Using a YARA-L rule alone would target detection behavior in a more limited context, raw log searches are tedious and error-prone across diverse log formats, and reviewing Alerts & IOCs only surfaces already flagged items instead of proactively scanning all data.

The idea is to search across all normalized data efficiently using the unified data model and a rule language that can span multiple sources. Writing UDM searches that use YARA-L 2.0 syntax lets you query the standardized fields across every log type that’s normalized in SecOps, so you can find instances of the IP anywhere in the dataset with a single, scalable query. This approach leverages the consistent schema of the data and the pattern-matching power of YARA-L to surface malicious activity across all logs, rather than relying on source-specific searches or isolated rules. Using a YARA-L rule alone would target detection behavior in a more limited context, raw log searches are tedious and error-prone across diverse log formats, and reviewing Alerts & IOCs only surfaces already flagged items instead of proactively scanning all data.

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