How Vega is Rethinking the Enterprises' Ways of Detecting Cyber Threats

Vega, redefining the boundaries of Security Operations by eliminating the limits of the past, led by Shay Sandler and Eli Rozen, has raised a $120 million Series B round 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.

Enterprises generate massive security data, yet legacy tools like Splunk rely on centralizing it before detecting threats, a costly model increasingly strained by distributed cloud environments.

Vega Security seeks to invert that approach by running security directly where data already resides, across cloud services, data lakes, and existing storage systems.

Shay Sandler, co-founder and CEO of Vega, said that the prevailing SIEM (security information and event management) model, dominant for more than two decades, has become “crazy expensive” and is increasingly incompatible with AI-native security operations.

In complex cloud environments, the current approach can even heighten exposure to threat actors.

“Vega has defined a new operating model that enables organizations to leverage the full potential of enterprise data to achieve incident response readiness, without the complexity, cost, or operational friction,” Sandler said. “The goal is to deliver AI-native detection and response capabilities wherever data resides, at scale.”

Like many cybersecurity founders, Sandler began his career in the Israeli military’s cyber unit before becoming a founding employee at Granulate, which Intel acquired for $650 million in 2022. After a year at Intel, the decision was made to build again in cybersecurity at a far larger scale.

That background helped capture the attention of Andrei Brasoveanu, partner at Accel, alongside Vega’s ambitious effort to rethink security management in a market long dominated by Splunk.

Challenging the status quo is often easier than driving change within enterprise budgets, a reality familiar to any startup selling into large organizations.

For that reason, Vega’s “North Star” was not only to deliver a more cost-effective and superior threat detection solution, but to make adoption frictionless, simple enough for the world’s largest and most complex enterprises to deploy within minutes, without disruption.

Vega’s approach appears to be gaining traction. The 100-person startup has secured multimillion-dollar contracts with banks, healthcare organizations, and Fortune 500 companies, including cloud-intensive businesses such as Instacart.

“The only reason they would do that with a two-year-old startup is that the problem is so painful and other solutions on the market require an unrealistic expectation that the enterprise change the way they operate or do two years of data migrations,” Sandler said. “Vega enables them to just plug and play and achieve immediate detection response value.”