Malware Analysis


Today, one in every 14 downloads from the internet contains malware. It is quickly becoming the most popular method to conduct sabotage, espionage, identity theft, and credit card theft, to mention a few things. The good news is that inherent malware patterns and similarities due to code patterns reused by malware authors, making it possible to use machine learning to discover similarities and identify threats. While we are continually improving our capabilities in the machine learning field, we are also doing the same regarding behavioral analytics because we believe it’s essential to cover all aspects of malware analysis.