Vega secures $120M Series B funding to advance AI native security analytics

Vega, a U.S. cybersecurity startup developing an AI‑driven security analytics platform, has closed a $120 million Series B funding round led by venture firm Accel. The fresh capital will support the company’s product expansion and global growth strategy.

Series B funding drives expansion of AI security platform

The $120 million funding round underscores strong investor interest in modernizing enterprise cyber defense. Accel led the financing, joined by Cyberstarts, Redpoint Ventures, and CRV, bringing Vega’s total capital raised to approximately $185 million since its founding in 2024.

Vega plans to employ the new funds to deepen development of its AI‑native security analytics platform, hire additional engineering and sales personnel, and step up its presence in international markets. Rather than relying on conventional methods that require consolidating vast amounts of security data into centralized systems, Vega’s platform analyzes threats directly where data resides, across cloud services, data lakes, and existing enterprise systems.

This approach challenges traditional security tools by reducing the need for costly data migration and enabling security teams to detect and respond to threats more swiftly. The company says its technology spans the full incident lifecycle without forcing organizations to duplicate or move their data.

Industry investors view this model as a meaningful shift in how cybersecurity tools can operate at scale in modern, cloud‑centric environments. Andrei Brasoveanu, a partner at Accel, highlighted that Vega’s solution resonates with large enterprises that have historically struggled with legacy security architectures.

Series b funding highlights trends in AI security and security analytics

The cybersecurity sector has experienced rapid growth as organizations grapple with increasingly complex and distributed data environments. Modern enterprises generate high volumes of security telemetry that traditional systems often struggle to process efficiently, especially when data is fragmented across multiple platforms and cloud services.

Vega’s platform attempts to meet this challenge by allowing analytics to run close to the source of data rather than demanding complete centralization. The model has attracted early adoption from global banks, major healthcare organizations, and Fortune 200 companies, suggesting that enterprises are ready to explore alternatives to legacy solutions.

Securing a strong investor lineup and a sizable Series B round this early in the company’s lifecycle points to confidence in Vega’s technology and market strategy. Venture capital interest in AI‑enabled cybersecurity tools has expanded in recent years as digital threats grow more sophisticated and data volumes continue to rise.

In addition to funding product innovation, Vega intends to use part of the financing to strengthen its go‑to‑market capabilities, allowing the firm to engage with larger enterprise customers and accelerate adoption of its AI‑centric platform.

Vega’s security analytics platform and leadership amid series b funding

Founded in 2024, Vega is focused on building what it describes as the industry’s first AI‑Native Security Analytics Mesh, a platform designed to provide detection, analysis, and response capabilities without the operational burdens of conventional security information and event management (SIEM) systems.

The company was co‑founded by Shay Sandler, its chief executive officer, and has hired experienced leaders in product and research to support its growth. Vega has also expanded its workforce to more than 100 employees as it scales operations and enters new markets.

The rapid growth and substantial funding to date reflect both investor optimism and enterprise demand for agile, cloud‑native cybersecurity approaches that leverage artificial intelligence for threat detection and operational efficiency.

Vega’s $120 million Series B funding round marks a major step in its development as a contender in AI‑driven enterprise cybersecurity. Supported by prominent venture investors, the company is poised to expand its technology offerings and global footprint. With its platform already gaining traction among large organizations, Vega’s continued evolution highlights a broader industry shift toward AI‑native security tools capable of meeting the demands of complex, distributed data environments