Vega Security
A New York/Tel Aviv company building an AI-native security operations platform with its own purpose-built model, positioned as a SIEM replacement.
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Vega sells what it calls an AI-native Security Analytics Mesh: a platform that runs detection, triage, investigation, and response as a loop of AI agents operating on security data where it already resides, rather than requiring organizations to first centralize everything into a SIEM. Its second-generation release, Vega II, adds a proprietary AI model trained specifically for cyber defense plus a memory layer, which the founders argue is necessary because, in their words, AI-native security operations cannot be built by placing an LLM on top of an existing product.
Founded in 2024 by Shay Sandler (CEO) and Eli Rozen (CTO), both veterans of Granulate (acquired by Intel), Vega is dual-headquartered in New York with R&D in Tel Aviv. It has raised $185 million in under two years, including a $120 million Series B led by Accel in February 2026 that nearly doubled its valuation to roughly $700-800 million. The company’s own case studies claim customers reclaim up to 67% of analyst time and cut data-ingestion costs by up to 82% versus legacy SIEMs—figures that are vendor-sourced and not independently verified.
Innovation Matrix Assessment
Built a proprietary AI model purpose-trained for cyber defense (Vega II) with a memory layer rather than layering an LLM onto existing SIEM architecture, shipped within about two years of founding.
If claims hold, meaningfully reduces analyst toil and SIEM data-ingestion cost, both persistent operational pain points for SOC teams.
Raised $185M in under two years, including a $120M Series B led by Accel (Feb 2026) that nearly doubled its valuation—strong, independently reported funding momentum.
Architecturally distinct from incumbent SIEMs (analyzing data in place rather than centralizing it first), though whether it actually displaces entrenched SIEM deployments at scale remains unproven.
Efficiency claims (67% analyst time reclaimed, 44x faster investigations, 82% cost reduction) come from Vega's own case study and are not independently verified.
AI-native security operations is where enterprise demand and analyst-firm attention are both heading, given SIEM cost and complexity pain points.
Why CISOs Should Care
Offers CISOs a path to cut SIEM data-ingestion costs and analyst workload by running detection and investigation as AI agents directly on existing data stores.
What Makes It Different
A purpose-built AI model for cyber defense plus an in-place analytics approach, instead of an LLM layered on a traditional centralized SIEM.
The Matrix Verdict
70/100 — MEANINGFUL INNOVATOR
Vega Security is a Meaningful Innovator: strong funding momentum and a genuinely distinct technical architecture place it at the upper end of the field, tempered by unverified efficiency claims and the fact that it has not yet proven it can displace incumbent SIEMs at scale.
Editorial Note: Claims vs. Verified Findings
Funding rounds and valuation are independently reported by TechCrunch and BankInfoSecurity; specific performance and cost-reduction percentages are vendor case-study claims, not independently audited.
Sources
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