The book/materials associated with this keyword typically bridge the gap between the Pyramid of Pain and actual SIEM queries.
The book is available on O'Reilly Learning and Amazon , which both offer "Look Inside" previews. Community Notes: Detailed chapter-by-chapter notes It involves analyzing large datasets to detect anomalies
Data-driven threat hunting is a proactive approach to identifying and mitigating threats that evade traditional security controls. It involves analyzing large datasets to detect anomalies and patterns that may indicate a threat. By leveraging data-driven insights, threat hunters can identify and respond to threats more effectively. For example: "Are there any signs of lateral
Every hunt starts with a question. For example: "Are there any signs of lateral movement via PowerShell in my finance department?" You then use your data to prove or disprove this hypothesis. 2. Data Sources for the Hunt As a result
In today's digital landscape, cybersecurity threats are becoming increasingly sophisticated and frequent. As a result, organizations need to adopt proactive and data-driven approaches to threat detection and mitigation. Practical threat intelligence and data-driven threat hunting are two essential components of a robust cybersecurity strategy. In this post, we will explore the concepts of practical threat intelligence and data-driven threat hunting, and provide a comprehensive guide on how to implement them in your organization.
Here is a link to download a free PDF on "Practical Threat Intelligence and Data-Driven Threat Hunting":
: Learn to collect and analyze indicators of compromise (IoCs) and understand the threat intelligence cycle. Data-Driven Hunting : Setting up a centralized environment using an