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Vega

Cybersecurity · Tel Aviv-Yafo, Israel · Founded 2024

Developer of AI-native security analytics for in-place threat detection across enterprise data MoreLess

Vega Technologies Ltd. develops an AI-native security analytics platform designed to replace traditional Security Information and Event Management (SIEM) systems.

Its “Security Analytics Mesh” enables enterprises to search, detect, investigate, and respond to threats across any data source without migrating or duplicating data.

Vega’s architecture integrates detection-as-code, automated coverage mapping, and AI-powered analytics, allowing consistent detection across SIEMs, data lakes, and XDR platforms. Its core engine, Lyra, orchestrates agents throughout the SecOps lifecycle to deliver preemptive, scalable security outcomes.

Vega operates on a SaaS subscription model, supporting cloud, hybrid, and on-prem deployment for enterprise clients in sectors such as finance, energy, and healthcare.

Keywords: cybersecurity, AI, security analytics, SIEM replacement, SecOps, threat detection, data integration, enterprise SaaS.

Valuation $500M–1B
Revenue $10–50M
Headcount 100–500
Total funding $100–500M
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Talent graph

Vega's talent

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Team profiled 11 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 2 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Investors

5 investors on Vega's cap table

Sourced from Dealroom's funding history. Investor profile links are shown where available.

Seed 5 investors entered at this stage

Global footprint

Where Vega has talent and traffic

Workforce by country
🇮🇱 Israel · Tel Aviv-Yafo HQ
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Market sentiment

What the market is saying about Vega

An AI-synthesized read of the highest-engagement posts about Vega on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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