Introduction​

In an era where cyber threats are increasingly sophisticated and frequent, organizations must leverage advanced technologies to strengthen their defenses. A promising approach is the synthesis and summarization of threat intelligence using Large Language Model (LLM) agents. This article explores how these agents can analyze diverse data sources — such as static and dynamic analysis reports, antivirus data, MITRE techniques and general sample information — to create a comprehensive understanding of potential threats.