Vega is a security analytics company founded in 2024 that offers an AI-native Security Analytics fabric designed to help organizations access and analyze security data across distributed environments without requiring data migration or consolidation. The core product is a lightweight Security Analytics fabric that connects to existing data stores — including low-cost storage solutions and data lakes — and enables security teams to run detection, investigation, and threat hunting workflows directly against data wherever it resides. Key capabilities include: - Data access and normalization: Transforms low-cost, unstructured log data into analysis-ready, normalized formats without migration - Assessment and discovery: Continuously analyzes the entire security stack and alerts to optimize visibility, detection coverage, relevance, and accuracy - Detection: Automatically creates and adapts tailored detections based on ongoing assessment and analyst preferences - Hunting and intelligence: Converts threat intelligence — whether homegrown, self-sourced, or Vega-provided — into actionable queries, hunts, and detections - Triage: Enables analysts to investigate alerts with full data access for enrichment and follow-up queries Vega positions its platform as an alternative to traditional SIEM and data lake approaches, aiming to reduce the cost and complexity associated with centralizing security data. The platform is described as AI-native, with AI capabilities applied across the full detection lifecycle rather than limited to automated investigation. Target customers include enterprises in banking, healthcare, and Fortune 500 companies. The company is backed by Cyberstarts, Accel, Redpoint, and CRV, and has raised $185M in total funding including a $120M Series B.