Vega Security is an AI-native security analytics company built around a federated architecture it calls the Security Analytics Mesh. Rather than forcing organizations to centralize all log and event data into a traditional SIEM, Vega is designed to run detection, search, and response directly against data already stored across cloud platforms, data lakes, SaaS services, and existing log repositories. This approach aims to reduce the cost and operational burden of large-scale data ingestion while still enabling enterprise-wide threat detection.
Founded in 2024, the Israeli startup emerged from stealth in September 2025 and positions itself directly against legacy SIEM platforms. Its federated model is intended to let security teams analyze, search, and detect threats where data lives, supporting the full security operations lifecycle without the centralized pipeline that traditional SIEM tools require.
Vega reports early commercial traction with multi-million-dollar contracts among global banks, leading healthcare organizations, and Fortune 200 enterprises. Its messaging emphasizes AI-driven detection and a modern operating model for security operations centers that are constrained by the volume and cost of telemetry data in legacy architectures.
In February 2026, Vega raised a $120 million Series B round led by Accel, which had also led an earlier $65 million Series A, with participation from Cyberstarts, Redpoint, and CRV. The round brought total funding to roughly $185 million in under two years and nearly doubled the company's valuation to about $700 million. The company has said it will use the capital to accelerate product development and expand its go-to-market team.
Because Vega is an early-stage company in a heavily contested security market, organizations evaluating it should validate detection coverage against their environment, assess the maturity of the federated architecture, and confirm integration with their existing data platforms and response workflows.