Fashionable enterprises generate huge 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 dear 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 Security needs to flip that method by operating safety the place the information already lives, implementing in cloud providers, knowledge lakes, and current storage methods. And the two-year-old agency simply raised a $120 million Collection B spherical to scale that imaginative and prescient, TechCrunch has solely discovered.
Led by Accel with participation from Cyberstarts, Redpoint, and CRV, the brand new spherical practically 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 crew, and develop globally.
Shay Sandler, co-founder and CEO of Vega, informed TechCrunch that the present working mannequin of the SIEM (safety info and occasion administration) — the dominant know-how on this area for the final 20 years — isn’t 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 usually will increase publicity to menace actors.
“Vega has outlined a brand new working mannequin that permits organizations to leverage the total potential of their enterprise knowledge to realize incident response readiness, with out all of the complexity, the price, the drama,” Sandler informed TechCrunch. “We wish to merely allow them to achieve AI-native detection response functionality wherever 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 12 months at Intel, Sandler determined to “do it massive time within the cybersecurity world.”
That pedigree is partly what attracted the eye of Andrei Brasoveanu, a accomplice at Accel. Nevertheless it was additionally Vega’s formidable method to safety administration in a market that’s already dominated by one participant: Splunk.
Techcrunch occasion
Boston, MA
|
June 23, 2026
Brasoveanu informed TechCrunch that legacy SIEM firms like Splunk, which Cisco acquired in 2024 for $28 billion, have been criticized in recent times as a result of their options are tough to scale. They fail at processing the insane rise of knowledge volumes pushed by AI.
“Splunk and each contender since has all the time centralized the information, however by doing that you just primarily maintain the client hostage,” Brasoveanu mentioned.
Nonetheless, 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 menace detection, however “to make it no drama, so simple as doable for the largest, most complicated enterprises on this 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 corporations, together with cloud-heavy firms like Instacart.
“The one cause they might do 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 knowledge migrations,” Sandler mentioned. “Vega allows them to simply plug and play and obtain speedy detection response worth.”
