The rapid growth of malware challenges manual analysis methods, emphasising the need for automation and new technologies
This development allows AI to aid in malware analysis workflow automation and scales up code analysis automation
Gemini 1.5 Pro helps analysts manage the overwhelming amount of threats by significantly improving processing capacity
Static analysis of malware reveals its code structure and unobfuscated logic without execution
These methods include supervised learning, which trains models on labelled datasets, and unsupervised learning for clustering, which groups malware by patterns without labels
This detection gap lets advanced attacks bypass cybersecurity, undermining system security
This new component of Google’s VirusTotal platform analyses code snippets and generates natural language reports like a malware researcher