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United StatesTechnology and telecom2026 – ongoing

SentinelOne

OpenAI Daybreak for malware reverse engineering

SentinelOne reported roughly 8 hours for malware analysis previously requiring weeks

WorkingVendor case studyVendor ↗

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

roughly 8 hourstime for human-level reverse-engineering output, versus 4 to 6 weeks for a specialist, reported in OpenAI's customer storyVendor case study[1]

Takeaway

The time comparison came from SentinelOne's chief AI officer. It did not establish an average across all malware samples.

Categories

Business function
IT and R&D
Innovation type
Process innovation
AI technology
Generative AI
Evidence
Vendor case study

Sources

  1. SentinelOne cuts malware analysis from weeks to hours
    OpenAI14 Oct 2026Vendor publication

Source summaries

[1]OpenAI14 Oct 2026

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.

Added 1 Nov 2026 · Updated 1 Nov 2026
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