Artificial intelligence native security analytics startup Vega Security Inc. announced today that it has raised $120 million in new funding to accelerate product development and expand its go-to-market team.

Founded in 2024, Vega offers an AI-native security analytics platform that is designed to support the full security operations lifecycle without requiring centralized data ingestion. The company’s platform is built around what it calls a “Security Analytics Mesh,” a federated model that allows security teams to analyze, search and detect threats directly against data stored across cloud platforms, data lakes, software-as-a-service services and existing log repositories.

Vega’s platform works by deploying analytics and detection logic close to where data resides to allow security teams to run queries and detections across distributed environments without duplicating or migrating logs into a single system. The platform supports structured and unstructured security data and integrates with common enterprise data stores and cloud environments, with a focus on reducing infrastructure overhead and eliminating delays introduced by data movement and normalization.

AI is key to the offering. The platform applies AI across multiple stages of security operations, including detection creation, alert correlation, investigation and triage. It also helps with detection logic, enriches events with contextual data, and reduces alert noise. The platform also provides visibility into detection coverage and gaps, allowing security teams to understand where telemetry exists but is not actively monitored.

Along with detection and investigation, Vega is expanding its platform to support response workflows within the same architecture. That includes support to allow analysts to move from alert identification to investigation and action without switching tools or exporting data to downstream systems.

“Security operations should not require data centralization, migration and high cost just to function,” said co-founder and Chief Executive Shay Sandler. “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.”

The company says that it has already signed multimillion-dollar contracts with global banks, leading healthcare organizations and Fortune 200 companies.

The Series B round was led by Accel Partners LP, with Cyberstarts, Redpoint Ventures LP and Charles River Ventures LP also participating.

“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,” said Andrei Brasoveanu, a partner at Accel. “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.”

Vega’s last funding before today was a Series A round of $65 million in September.

Photo: Vega