Modern enterprises generate enormous amounts of security data, but legacy tools like Splunk still require companies to store all of it in one place before they can detect threats ' a slow and costly process that's increasingly breaking down in cloud environments where volumes are exploding and data lives everywhere. AI cybersecurity startup Vega Security wants to flip that approach by running security where the data already lives, implementing in cloud services, data lakes, and existing storage systems. And the two-year-old firm just raised a $120 million Series B round to scale that vision, TechCrunch has exclusively learned. Led by Accel with participation from Cyberstarts, Redpoint, and CRV, the new round nearly doubles Vega's valuation to $700 million, and brings its total funding to $185 million, money the startup will use to further develop its AI-native security operations suite, beef up its go-to-market team, and expand globally. Shay Sandler, co-founder and CEO of Vega,...
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