Vega Security, a two-year-old AI cybersecurity startup, has secured $120 million in a Series B round to scale its approach to cloud-native threat detection.
The round was led by Accel, with participation from Cyberstarts, Redpoint, and CRV. The new financing nearly doubles Vega’s valuation to $700 million and brings total funding to $185 million. The capital will be used to expand its AI-native security operations platform, grow its go-to-market team, and accelerate global expansion.
Moving security to where the data already lives
Modern enterprises generate massive volumes of security data, much of it spread across cloud platforms, data lakes, and distributed storage systems. Traditional SIEM (security information and event management) tools typically require centralizing that data before analysis — a process that is costly, slow, and increasingly unsustainable in cloud-heavy environments.
Vega is taking a different approach. Instead of moving data into a single repository, its platform runs security detection directly within existing environments, allowing organizations to analyze threats where data already resides.
Shay Sandler, co-founder and CEO argues that the legacy SIEM model has become too expensive and operationally complex for modern enterprises.
“Vega has defined a new operating model that enables organizations to leverage the full potential of their enterprise data to achieve incident response readiness, without all the complexity and cost,” Sandler said. “We want to enable AI-native detection and response at scale, wherever the data is.”
Advertisement
Challenging the centralized SIEM model
For decades, centralized SIEM platforms have dominated enterprise security operations. However, growing data volumes — driven in part by AI adoption — have exposed scalability limitations in legacy systems.
Accel partner Andrei Brasoveanu noted that traditional providers often require companies to centralize enormous datasets, creating operational bottlenecks and increasing costs. Vega’s distributed model aims to remove that dependency, offering a plug-and-play alternative designed to integrate quickly into existing enterprise environments.
Sandler emphasized that simplicity of adoption has been central to Vega’s strategy, particularly when targeting large and complex organizations.
Rapid traction among enterprise customers
Founded by Sandler, a former member of Israel’s military cybersecurity unit and early employee at Granulate (acquired by Intel in 2022), Vega has grown to a team of around 100 employees.
The company reports signing multimillion-dollar contracts with banks, healthcare organizations, and Fortune 500 enterprises, including cloud-intensive businesses such as Instacart. According to Sandler, enterprises are drawn to solutions that deliver immediate threat detection improvements without requiring large-scale data migrations or fundamental changes to their operating model.
About Vega Security
Vega Security is an AI-native cybersecurity company building a distributed security operations platform. By enabling organizations to detect and respond to threats directly within their existing cloud and data environments, Vega aims to reduce complexity, improve scalability, and modernize enterprise security for the AI era.
