Summary:
- Security analysts can use ChatGPT for malware analysis by enhancing GPT’s ability.
- GPT excels in summarizing large inputs and filtering the big picture.
- Overloading GPT with complex conditions can lead to misunderstandings and forgotten requirements.
- The six general principal obstacles in applying GPT to malware analysis are memory window drift, gap between knowledge and action, logical reasoning ceiling, detachment from expertise, goal orientation, and spatial blindness.
- GPT operates faster and more cost-effectively than a human analyst.
Hashtags:
#cybersecurity #malware #GPT #analysis