For years, threat hunting was treated like a pure talent game: hire the right experts, build the right skills, and you’ll uncover the hidden attack signals. But new findings from SANS are rewriting that story. The biggest blocker for threat hunting teams isn’t “not enough people” anymore—it’s data. In a SANS survey published Sept 23, 50% of respondents said insufficient data quality or quantity is the #1 obstacle. “Lack of staff with relevant skills” came in second at 45%. Budget limits followed at 42%. SANS chief instructor Josh Lemon put it simply: threat hunting outcomes depend heavily on what telemetry and data you can actually use. If logs/telemetry are incomplete, inconsistent, or scattered across hard-to-access tools, your investigation chain fractures—and detection suffers. The survey also flags trends: cloud environments are hardest to hunt in, measurement capabilities seem to be declining, and fewer orgs use formal methodologies (only 37%). AI adoption is getting more pragmatic: 39% plan AI/ML improvements (down from 48%). The real next step? Activate your data—make it accessible, consistent, and analyzable—before you scale hunting. #ThreatHunting #CyberSecurity #SIEM #SOC #ThreatDetection #DataQuality
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