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Fashionable enterprises generate monumental quantities of safety knowledge, however legacy instruments like Splunk nonetheless require firms to retailer all of it in a single place earlier than they’ll detect threats — a gradual and expensive course of that’s more and more breaking down in cloud environments the place volumes are exploding and knowledge lives in every single place.
AI cybersecurity startup Vega Safety needs to flip that method by working safety the place the information already lives, implementing in cloud companies, knowledge lakes, and present storage methods. And the two-year-old agency simply raised a $120 million Collection B spherical to scale that imaginative and prescient, Trendster has solely realized.
Led by Accel with participation from Cyberstarts, Redpoint, and CRV, the brand new spherical almost doubles Vega’s valuation to $700 million, and brings its complete funding to $185 million, cash the startup will use to additional develop its AI-native safety operations suite, beef up its go-to-market group, and increase globally.
Shay Sandler, co-founder and CEO of Vega, informed Trendster that the present working mannequin of the SIEM (safety data and occasion administration) — the dominant expertise on this area for the final twenty years — shouldn’t be solely “loopy costly,” however can be more and more inflicting AI-native safety operations to fail. In complicated cloud environments, he says, the present mannequin typically will increase publicity to risk actors.
“Vega has outlined a brand new working mannequin that allows organizations to leverage the complete potential of their enterprise knowledge to attain incident response readiness, with out all of the complexity, the associated fee, the drama,” Sandler informed Trendster. “We wish to merely allow them to succeed in AI-native detection response functionality anyplace the information is, at scale.”
Like so many cybersecurity founders, Sandler did his time within the Israeli navy’s cybersecurity unit earlier than being one of many founding workers behind Granulate, which Intel acquired for $650 million in 2022. After a yr at Intel, Sandler determined to “do it large time within the cybersecurity world.”
That pedigree is partly what attracted the eye of Andrei Brasoveanu, a accomplice at Accel. But it surely was additionally Vega’s formidable method to safety administration in a market that’s already dominated by one participant: Splunk.
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Brasoveanu informed Trendster that legacy SIEM firms like Splunk, which Cisco acquired in 2024 for $28 billion, have been criticized lately as a result of their options are troublesome to scale. They fail at processing the insane rise of information volumes pushed by AI.
“Splunk and each contender since has at all times centralized the information, however by doing that you simply basically maintain the shopper hostage,” Brasoveanu stated.
Nevertheless, generally it’s simpler to hate the established order than do the work of constructing a swap to a greater various, a quandary any startup making an attempt to breach enterprise budgets understands. That’s why Sandler says Vega’s “North Star” was to not solely construct an answer that’s more economical and higher at risk detection, however “to make it no drama, so simple as potential for the most important, most complicated enterprises on the planet to undertake it inside minutes.”
Vega’s method appears to be working. The 100-person startup has already signed multimillion-dollar contracts with banks, healthcare firms, and Fortune 500 companies, together with cloud-heavy firms like Instacart.
“The one purpose they’d try this with a two-year-old startup is as a result of the issue is so painful and different options available on the market require an unrealistic expectation that the enterprise change the best way they function or do two years of information migrations,” Sandler stated. “Vega permits them to only plug and play and obtain rapid detection response worth.”
