AI Can Enhance Threat Hunting: Cybersecurity’s New Trend

AI Can Enhance Threat Hunting: Cybersecurity’s New Trend

The March 2024 Censys study reveals a rising trend of utilizing AI thread hunting technologies to meet cybersecurity demand. The research, which spans US and European organizations across various sectors, also highlights the lack of unified standard of practices.

In the rapidly advancing IT sector, where tools and practices undergo constant evolution, managing and updating these practices presents a significant challenge. As the industry prioritizes efficiency and automation over stability, establishing and maintaining standards often takes a backseat, or is subject to frequent changes.
This dynamic environment can make it difficult for organizations to keep pace with the latest standards and integrate them into their existing frameworks effectively.

Looking into the future

AI’s contribution extends beyond standardizing threat-hunting practices; it brings automation, precision, and innovation, significantly adding value to organizations. In the US, a notable shift towards using automated tools like attack surface management (ASM), managed detection and response (MDR), and exposure management (EM) is observed among responders of the study.

This trend is less pronounced in Europe, where cybersecurity priorities differ.
But as trends become more clear, people often adjust to realign with them.