The Situation

Threat hunters spend a significant portion of their time searching through security logs looking for specific Indicators of Compromise (IoCs) or patterns of activity/behavior that indicate compromise. This work comes with some specific challenges: 

  • Too Many Tools, Too Much (Nonsense) Data: Oftentimes, threat hunters end up with log files or results pages showing long lists of suspicious events (including related IP addresses), and it can take many hours to work through this information to filter and identify malicious activity. 
  • Time Spent Clustering: Identifying infrastructure used by adversaries is a time consuming process.
  • Building Early (but reliable) Detections: Detections developed to identify malicious activity can generate false positives or get outdated quickly if they are based on non-current data.

Techniques to Improve the situation

To further enhance threat hunting and address some of these pain points, organizations can use tools like GreyNoise in conjunction with a SIEM or SOAR platform to quickly identify potential threats and investigate them further and get more out of their existing tools and filter through data sources faster. By understanding how infrastructure is being used, vulnerabilities being leveraged, and patterns of scans, threat hunters can gain valuable context on how adversaries operate and improve their response to threats.

Recently, we held a webinar on this topic, where we discussed how organizations are using specific techniques in their day-to-day operations. To gain perspective on how you can streamline your threat hunting process, sign up for the webinar and download it today to learn: 

  • How to use GreyNoise features and SOAR playbooks to hunt, detect, and defend.
  • The ins and outs of analyzing logs to identify potential DDoS attacks and how to respond to them effectively.
  • Tips and tricks for incorporating vulnerability intelligence into your threat intel reports, which can help you stay ahead of emerging threats.
This article is a summary of the full, in-depth version on the GreyNoise Labs blog.
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