What is the main difference between hypothesis-driven and data-driven Threat Hunting?
A.
Data-driven hunts always require more data to search through than hypothesis-driven hunts.
B.
Data-driven hunting tries to uncover activity within an existing data set, hypothesis-driven hunting begins with a potential activity that the hunter thinks may be happening.
C.
Hypothesis-driven hunts are typically executed on newly ingested data sources, while data-driven hunts are not.
D.
Hypothesis-driven hunting tries to uncover activity within an existing data set, data-driven hunting begins with an activity that the hunter thinks may be happening.
The main difference between hypothesis-driven and data-driven threat hunting lies in the approach. Inhypothesis-drivenhunting, the hunter starts with a theory or hypothesis about what kind of malicious activity might be occurring and then searches the data to confirm or refute that hypothesis. On the other hand,data-drivenhunting involves sifting through existing datasets to uncover patterns, anomalies, or activities that were not initially suspected. Hypothesis-driven approaches are more focused and often guided by threat intelligence or knowledge of attacker behaviors, while data-driven approaches rely on broad data analysis to identify unexpected threats.
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