Cybersecurity Startup Vega Raises $120M Series B at $700M Valuation

Vega Co-Founders: Shay Sandler and Eli Rozen

Cybersecurity company Vega, which develops a platform for real-time identification and investigation of cyber threats, has raised $120 million in a Series B round led by venture capital firm Accel, Calcalist has learned. The round values the company at approximately $700 million, a sharp increase from the $400 million valuation announced in its previous funding round in September. Other investors in the round included Redpoint, Cyberstarts, founded by Gili Raanan and Lior Simon, and CRV.

To date, Vega has raised $185 million, including $20 million in Seed funding and $40 million in a Series A round completed shortly afterward.

The new funding continues a broader trend of increasingly large and rapid fundraising rounds among cybersecurity startups, many of which are founded by experienced entrepreneurs. According to industry estimates, cybersecurity companies raised more than $4 billion over the past year, an all-time high. Other companies that have stood out for the scale and speed of their fundraising include Tenzai, from Guardicore founders, which raised a Seed round of approximately $75 million; 7AI, from Cybereason founders, which recently completed a $130 million Series A; and Zafran, headed by Sanaz Yashar, which raised $60 million.

Vega was founded in 2024 by Shay Sandler, CEO, and Eli Rozen, CTO. Both are veterans of Unit 8200 and were among the early employees at Granulate, which was acquired by Intel. The company employs dozens of people across offices in Tel Aviv and New York.

Vega has quickly drawn investor attention for its challenge to traditional SIEM platforms, which require companies to ship and index enormous volumes of security data. For modern enterprises generating terabytes of logs each day, that model has become slow, costly, and difficult to scale.

Vega’s alternative, analyzing data in place, without forced migration, has resonated with Fortune 500 companies, major financial institutions, and leading healthcare organizations seeking faster visibility and lower operational overhead. By combining federated analytics with continuous posture assessment and AI-assisted investigations, the platform aims to eliminate the blind spots, delays, and integration burdens that have long plagued legacy systems.

Source: CTech