SentinelOne
OpenAI Daybreak for malware reverse engineering
SentinelOne reported roughly 8 hours for malware analysis previously requiring weeks
Problem
Deep reverse engineering of sophisticated malware occupied specialist researchers for weeks. The effort limited how many samples the team could investigate.
Approach
SentinelOne used OpenAI Daybreak to examine malware behavior and produce reverse-engineering output. Researchers used the faster analysis to investigate more samples and compare shared components. The team retained responsibility for consequential decisions.
Results
Takeaway
The time comparison came from SentinelOne's chief AI officer. It did not establish an average across all malware samples.
Categories
- Industry
- Technology and telecom
- Business function
- IT and R&D
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
OpenAI described SentinelOne's use of Daybreak for malware research. SentinelOne's chief AI officer compared roughly 8 hours of AI work with 4 to 6 weeks of specialist effort.
Full details are in the original sources.