Weeks to Hours: SentinelOne on Cybersecurity Research with OpenAI

**TL;DR: SentinelOne researchers note that AI has reached human-level performance in fields such as reverse engineering, compressing analysis that once took 4 to 6 weeks into about 8 hours and giving defenders malware correlation intelligence capabilities they previously could not afford.** ## The Practical Challenges of Mapping Malware One fundamental challenge in cybersecurity research is: **How much of the malware landscape can we actually map?** Currently, security teams can reverse-engineer only a tiny fraction of software. The vast majority of malware samples remain "discovered but not deeply understood" and cannot be incorporated into a comprehensive threat intelligence map. The enormous gap between the number of samples and analytical capacity limits the entire industry's understanding of the full threat landscape. ## AI's Breakthrough in Reverse Engineering In fields such as reverse engineering, AI can now perform at a **human level**. This capability translates directly into an order-of-magnitude improvement in analysis speed. Work that previously took a top researcher **4 or even 6 weeks** can now be completed by AI in about **8 hours**, with comparable results. This means teams that previously could select only a handful of high-value samples for in-depth investigation can now greatly expand their analytical coverage, truly "mapping" more malware into the threat intelligence landscape. ## The Intelligence Value of Correlating Malware As analysis becomes deeper, the real payoff lies in the ability to make connections. If you discover a distinctive feature in a piece of software that you have seen elsewhere, and you have already identified its creator, you can conclude that: **These two pieces of malware, which previously appeared entirely unrelated, share some connection.** This kind of correlation across samples and organizations is central to the value of threat intelligence—it can piece together isolated incidents into a comprehensive picture of an attacker's identity, techniques, and infrastructure. This is an intelligence capability that was previously simply unaffordable: when analyzing even one sample required weeks of a top researcher's time, looking for shared characteristics across multiple samples was out of the question. ## OpenAI Is Shifting the Advantage to Defenders Against this backdrop, OpenAI is **shifting the advantage to defenders** by making expert-level cybersecurity capabilities available to everyone. When defenders can obtain, at almost no cost, analytical capabilities that were once possessed by only a handful of top researchers, attackers' asymmetric advantage from "exploiting differences in scale and information" is weakened. Malware can no longer remain hidden simply because "no one has the time to analyze it," and correlating threats across organizations is no longer the exclusive preserve of a few large companies. Source: Weeks to Hours: SentinelOne on Cybersecurity Research with OpenAI (https://www.youtube.com/watch?v=BOTAeAU5ExQ)