During which phase of the threat hunting process would you analyze the collected data for signs of potential threats?

The threat hunting process is a cyclical methodology. The Investigation phase is specifically dedicated to the hands-on analysis of data. After a hypothesis is generated and the necessary data has been collected, the threat hunter actively queries, filters, and examines the dataset. The goal is to uncover anomalies, patterns, or indicators of compromise (IOCs) that either validate or refute the initial hypothesis, thereby identifying potential threats.

A. Data collection: This phase is concerned with gathering the raw data (e.g., logs, network traffic, endpoint data) needed for the hunt, which precedes the analysis itself.

B. Hypothesis generation: This is the initial phase where a testable assumption or question about a potential threat is formulated, guiding the subsequent investigation.

D. Strategy refinement: This is a post-investigation phase where the outcomes of the hunt are used to improve future hunting processes, detection rules, and overall security posture.

1. Santos, O. (2023). Cisco CyberOps Professional CBRCOR 350-201 and CBRTHD 300-220 Official Cert Guide. Cisco Press. Chapter 10, "Threat Hunting," section "The Threat Hunting Loop," describes the investigation phase as the step where hunters use tools to explore data to prove or disprove a hypothesis.

2. MITRE. (2020). Cyber Threat Hunting. Section 3, "A Simple Hunting Process," outlines a model where "Step 2: Investigate" involves using various analytical techniques to search through data based on the hypothesis developed in Step 1.

3. Pendergast, J. (2019). The Threat Hunting Journey. SANS Institute InfoSec Reading Room. Page 6, "The Hunting Loop," details the "Investigate" step where hunters "dig through data looking for evidence" to validate their hypothesis. This is the core data analysis activity.