Vega has raised $120 million in a Series B round as it pushes to reshape how large enterprises run security detection and response. The funding was led by existing investor Accel, with participation from Cyberstarts, Redpoint, and CRV, and brings Vega’s total capital raised to $185 million in under two years. The company said the new round nearly doubles its valuation.
Founded less than two years ago, Vega says it is already signing multi-million-dollar security analytics contracts with Fortune 200 customers, including global banks and large healthcare organizations. The company plans to use the proceeds to accelerate product development and expand its go-to-market team as it scales its AI-native, federated approach to security analytics across the full security operations lifecycle, from visibility and detection to triage and response.
Vega is positioning its platform as an alternative to legacy security information and event management architectures that typically require organizations to centralize data before it can be used for threat detection and investigations. Vega argues that centralization increases infrastructure costs, slows investigations, and limits visibility in complex environments. Instead, the company says its model operates directly on the data where it is stored, enabling detection, investigation, and response without requiring data migration, new pipelines, or additional silos.
Alongside product and commercial expansion, Vega has scaled to more than 100 employees and expanded rapidly across the United States. The company also highlighted recent leadership additions, including Yonni Shelmerdine as chief product officer and Ofir Nir as vice president of research and development.
KEY QUOTES:
“When a solution is adopted this quickly by global banks and large enterprises, it signals a meaningful shift in how the market expects security to operate, and we see major security players moving toward distributed, data-native security models as well. Security operations should not require data centralization, migration, and high cost just to function. In complex cloud environments, this model simply can’t keep up and often increases exposure to threat actors. Vega is building an operating model that enables AI-native detection and response directly on top of the data enterprises already have. This allows teams to move faster, reduce friction, and simply achieve real outcomes”.
Shay Sandler, Co-Founder And Chief Executive Officer, Vega Security
“What stood out to us was not just the speed of adoption, but the size and significance of the customers committing to Vega early on. The company is showing that large enterprises are ready to move beyond legacy security analytics models, and that Vega can execute against that demand masterfully.”
Andrei Brasoveanu, Partner, Accel
