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This work provides the first study of such a whole-system defense, especially with respect to a deployed and operational capability, and shows an increase in product abuse coverage, a 30% reduction in monthly alerts, and adaptability to changes in malicious actors'behavior.
A common requirement across organizations is to have a tool that can identify file types based on their contents, particularly in the cybersecurity domain where magic numbers and file extensions can not be trusted. While existing tools work well in practice, there is plenty of room for improvement either in terms of co...
This work trains a chain-of-thought reasoning-enabled triage classifier on real, human-labeled Windows endpoint detections by combining automated prompt optimization, self-training, and reinforcement learning with verifiable rewards, and shows that a finetuned 30B model significantly outperforms frontier general-purpos...
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