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When AI Joins the SOC: My First Experiment in Malware Analysis !
- The author conducted an experiment using AI for malware analysis.
- The experiment aimed to make malware analysis faster and smarter.
- Traditional malware analysis is time-consuming and challenging for analysts.
- The author questioned whether AI could assist in reducing time without compromising quality in malware triage.
- The experiment focused on identifying malicious behavior based on static analysis data with the help of AI.
- The malware sample analyzed was a Remote Access Trojan.
- The AI's summary aligned well with the author's findings, emphasizing AI's potential in supporting malware analysis.
- AI is viewed as a tool to help professionals perform better, not replace their roles.
- The author encourages sharing experiences and tools for combining cybersecurity and AI.
- AI proved efficient in providing quick and consistent analysis results.
- AI is likened to a junior analyst, proficient in recognizing known patterns but still requiring guidance from experienced professionals.
- The experiment demonstrated the value of AI as a reliable assistant in malware analysis.
- AI is seen as a complement to human expertise in the field of cybersecurity.
- The author invites others to share their experiences of using AI in cybersecurity.
- AI enhances the analysis process by providing prompt insights and augmenting human capabilities.
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