Cyber threat hunting combines strategies, advanced technologies and skilled analysts to methodically examine networks, endpoints and data repositories. Its objective is to uncover stealthy malicious activities, reduce dwell time for undetected threats and bolster an organization’s capability to withstand multi-vector attacks.

This TechRepublic Premium article, written by Franklin Okeke, aims to look at threat hunting techniques, technologies and how organizations can build an effective threat hunting program.

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Hypothesis-driven hunting

This approach is initiated by forming a hypothesis about a potential threat based on the latest intelligence about cyber threats. The hypothesis could be about a new malware variant, suspicious network behavior or an unusual login pattern.

Once the hypothesis is formed, threat hunters use various tools and techniques to search through the organization’s network data to find evidence supporting or refuting the hypothesis. This could involve analyzing log files, network traffic data or endpoint data.

The goal is to identify patterns or anomalies that match the hypothesis, which could indicate a security breach. If such patterns are found, the threat hunters then work to understand the scope of the breach, the damage caused and how to remediate it.

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TIME SAVED: Crafting this content required 20 hours of dedicated writing, editing and research.