SentinelOne reports that using OpenAI Daybreak has shortened deep malware reverse engineering from the four–to–six weeks typically required for a top researcher to roughly eight hours. Gregor Stewart, Chief AI Officer at SentinelOne, described the speedup as producing human-level reverse-engineering output in that timeframe.
Faster analysis, more samples
According to SentinelOne, Daybreak is used to deconstruct malicious software and derive behavioral details far more quickly than manual analysis alone. Faster turnaround gives researchers capacity to examine many more samples, which the company says increases the chance of spotting links between different threats.
Stewart emphasized that the technology expands what the team can investigate but does not replace responsibility for decisions. He noted that architectural changes or major design decisions still require human review, while routine fixes may be more suitable for automation.
Mapping connections and broadening roles
SentinelOne says the ability to process more samples enables researchers to map a larger portion of the malware landscape and observe how relationships among threats evolve. The company gave the example of identifying a shared component in two samples that initially appeared unrelated, which could provide leads during customer investigations.
Internally, Stewart said access to OpenAI’s cyber capabilities is allowing more staff to take on security tasks that previously fell to a small group of specialists. He also expressed an intent to integrate those capabilities into the development process so engineers can address security issues as they write code.
SentinelOne attributes the reported time reduction and expanded investigative capacity to the use of OpenAI Daybreak in its analysis workflow. Gregor Stewart, as Chief AI Officer, framed the change as creating room for broader comparisons across malware samples and enabling more team members to participate in security work.
Original source: OpenAI News