Vega, a NYC-based AI-native security analytics mesh (SAM) platform provider, has raised $120 million in a Series B funding round led by Accel.
The round also saw participation from Cyberstarts, Redpoint, and CRV.
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The company plans to use the funds to accelerate product development and expand its go-to-market team.
Modern enterprises generate massive amounts of security data. Still, legacy tools like Splunk require all data to be stored in a single location before threats can be detected—a slow, costly process that struggles in cloud environments where data is growing and spread across multiple locations. AI cybersecurity startup Vega Security aims to change this by running security directly where the data lives, across cloud services, data lakes, and existing storage systems. The two-year-old company just raised a $120 million Series B round to expand this vision.
Like many cybersecurity founders, Sandler served in Israel’s military cybersecurity unit before joining Granulate as a founding employee, which Intel bought for $650 million in 2022. After a year at Intel, he decided to “go big in the cybersecurity world.”
That background caught the eye of Andrei Brasoveanu, a partner at Accel. But it was also Vega’s bold approach to security management in a market largely controlled by a single player: Splunk.
“Splunk and every competitor since have always centralized the data, but doing that basically holds the customer hostage,” Brasoveanu said.
However, it’s often easier to stick with the status quo than switch to a better solution—a challenge any startup trying to win enterprise budgets knows. That’s why Sandler says Vega’s “North Star” was not just to build a cheaper, more effective threat detection system, but also “to make it simple and hassle-free for the world’s largest, most complex enterprises to adopt it in minutes.”
Vega’s approach appears to be paying off. The 100-person startup has already landed multimillion-dollar contracts with banks, healthcare companies, and Fortune 500 firms, including cloud-focused companies like Instacart.
“The only reason they’d do that with a two-year-old startup is that the problem is so serious, and other solutions require enterprises to change how they operate or spend two years migrating data,” Sandler said. “Vega lets them plug in and get immediate detection and response value.”
Shay Sandler, co-founder and CEO of Vega, told TechCrunch that the current SIEM (security information and event management) model—dominant for the past 20 years—is not only “crazy expensive” but is also failing in AI-driven security operations. In complex cloud environments, he says, it can even increase the risk of attacks.
“Vega has created a new operating model that lets organizations use all their enterprise data for incident response readiness—without the complexity, cost, or hassle,” Sandler told TechCrunch. “We aim to make it easy for them to achieve AI-driven detection and response anywhere their data is, at scale.”
About Vega
Founded in 2024 by Shay Sandler and Eli Rozen, Vega is creating an AI-first security analytics platform that supports the full SecOps lifecycle—from search, detection, and assessment to investigation, triage, and response. The platform uses an AI-driven, distributed approach to provide complete visibility, threat detection, and response capabilities.
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