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Importance of Indicators of Compromise (IoCs) in CTI for Actionable Intelligence
Whether in the case of a targeted attack or random mass exploitation, using Indicators of Compromise (IoCs) is a crucial aspect in the ongoing challenge to proactively address potential threats.…
SOCRadar
Top Linux Bash Commands that SOC Analysts Should Know
Within the domain of Cyber Threat Intelligence (CTI), where various tools and processes are deployed for vigilant defense, Bash commands are one such solution. In the pursuit of swift and…
SOCRadar
How to Combat Fraud with Threat Intelligence: Cutting-Edge Pathway
Organizations have increasingly moved significant portions of their operations online to streamline customer service processes. Instead of physically visiting a location to pay for and pick up products, these transactions…
SOCRadar
Using Threat Intelligence to Monitor Industry-Specific Threats
Threat intelligence (TI) is essential to today’s cybersecurity practice because it enables organizations to gain insight into the motivations and methods of current and potential cyber threats, including industry-specific threats. Threat…
SOCRadar
How Can Open-Source LLMs Be Used in CTI?
The adoption of Language Models (LLMs) has become prevalent in various applications, including Cyber Threat Intelligence (CTI). As one might anticipate, these sophisticated models are frequently employed to provide a comprehensive…
SOCRadar
Campaign Alert: The Year-Long Shadow of AsyncRAT in U.S. Infrastructure
An AI illustration of AsyncRAT The Rise of AsyncRAT: A Persistent Cyber Threat AsyncRAT, an open-source remote access tool released in 2019 and available on GitHub, has become a significant…
SOCRadar
Harnessing SIEM Solutions With Threat Intelligence
Organizations strive to implement security measures and remain current to defend against the escalating number of cyber attacks. However, staying ahead of cyber threats is challenging in the constantly evolving…
SOCRadar
Llama Guard: A Potent Ally for Threat Detection in LLM Environments
In a previous article, we delved into CyberSecEval, a benchmark created by Meta to tackle primary security concerns surrounding Large Language Models (LLMs). These concerns include the potential for generated code…
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