National DefenseNational SecurityOSINTTerrorism

UMBRA Threat Hunting

Artificial intelligence is becoming an important part of cybersecurity in more ways than one. Although Artificial intelligence (AI) can automate behavior analysis and threat detection, it can also do other things like threat hunting assistance.

Threat hunting is the practice of proactively searching for cyber threats that are lurking undetected in a network. Cyber threat hunting digs deep to find malicious actors in your environment that have slipped past your initial endpoint security defenses. It involves looking beyond the known alerts or malicious threats to discover new potential threats and vulnerabilities. It is an essential component of any defense strategy and is becoming increasingly important as companies seek to stay ahead of the latest cyber threats and rapidly respond to any potential attacks.

Threat hunting is searching for possible cyber attacks and is usually done by using manual analysis of data. Some common techniques used during threat hunting include: Memory dumps, which check your system’s memory for signs of malicious activity; Analyzing server images for threat activity; Checking endpoint protection data for possible incidents; Analyzing the disk images of individual workstations to see if anything raises a red flag; Checking your network protection infrastructure for alerts or anomalous data points that may indicate the presence of a threat; Searching; Cluster analysis; Grouping; and Stack counting.

AI however, can automate this process making it easier and more efficient. UMBRA also offers proprietary technology capabilities.

From The Shadows Emerges Knowledge



Article contributed by Anthony DiTaranto