@CrowdStrike's SafeMind cuts AI security query cost to $0.03 vs. $10 for frontier models, a 99% reduction
At Fal.Con 2026, CrowdStrike introduced SafeMind, described by @GoldmanSachs as the clearest example of the company moving from AI security vision to product architecture.
SafeMind is built on CrowdStrike's Cyber Superintelligence Lab, which takes @Nvidia Nemotron open-source and open-weight models and trains them on CrowdStrike's 15+ year history of kill chain datapoints and human reinforcement labelled data.
Specifically, remediations with SafeMind now cost as little as $0.03 per query, versus frontier models at $10/query, a 99% reduction in cost per the report. CrowdStrike plans to monetize SafeMind through token packs supported by Falcon Flex.
Goldman Sachs argues that domain-specific SLMs may offer a more compelling value proposition to enterprises than frontier models, as pairing LLM foundations with proprietary domain-specific training data can yield better results.
At Fal.Con 2026, CrowdStrike introduced SafeMind, described by @GoldmanSachs as the clearest example of the company moving from AI security vision to product architecture.
SafeMind is built on CrowdStrike's Cyber Superintelligence Lab, which takes @Nvidia Nemotron open-source and open-weight models and trains them on CrowdStrike's 15+ year history of kill chain datapoints and human reinforcement labelled data.
Specifically, remediations with SafeMind now cost as little as $0.03 per query, versus frontier models at $10/query, a 99% reduction in cost per the report. CrowdStrike plans to monetize SafeMind through token packs supported by Falcon Flex.
Goldman Sachs argues that domain-specific SLMs may offer a more compelling value proposition to enterprises than frontier models, as pairing LLM foundations with proprietary domain-specific training data can yield better results.
