The Hunter's Paradox: Is it time to embrace automated threat hunting?
Summary: Cisco Talos published a piece by the author of the 2015 Sqrrl threat hunting framework, who now proposes redefining threat hunting as "any reasoning-driven process for identifying security incidents your automated detection systems missed," dropping the earlier requirement that humans drive the hunt. The post argues humans cannot keep pace with the volume and velocity of security telemetry, while noting that LLMs take training data at face value and that attackers operate through pervasive deception.
Bottom line: The author's own guidance keeps humans in charge of hunt strategy and analytic novelty, because an AI's training data by definition excludes the attacker behavior nobody has seen yet - lean on it for procedures and you converge on well-trodden ground, leaving the truly new as your blind spot.
Read the original at Cisco Talos ↗
- Topics
- Detection & Response
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