Welcome to the
Post-SIEM Era.
Match AI-paced threats with AI-paced Cyber Defense. Vega's Security Analytics Mesh (SAM) powers agentic detection, triage, and analytics on every data source, right where it lives, accelerating every step of detection and response. No ingestion. No migration. No blind spots.
AI changed how fast attackers move. Your stack didn't keep up.
This is your SOC at AI speed.
Your detections ship in minutes, not weeks.
Author once. Run everywhere. Vega continuously assesses coverage against MITRE ATT&CK and your actual stack, so a Tuesday threat has coverage by Tuesday afternoon. Skills attach at authoring time, so every downstream agent knows what to do, and tuning feeds back automatically.
Your triage agents work the full dataset.
AI triage across every connected source, not just what made it through the ingestion funnel. Verdicts you can trust, because every step is transparent. Learnings that compound, because triage and detection are part of the same loop.
Your hunts reach every source at once.
So do your MCP-driven workflows. No more pivoting across four consoles to answer one question. One query, every source, federated and normalized. The same speed your AI agents need is the speed you've always wanted.
Unlock your telemetry. Decouple analytics from storage.
Unleash the SOC.
Legacy platforms force ingestion and migration before you can ask questions. Vega skips both. No copying, no migration, no waiting.
Think of it as the operating system your Cyber Defense Engineers run on. Vega's Security Analytics Mesh federates your data wherever it lives, including low-cost object storage, and runs agentic hunting, detection, and triage right on it.
Speed at every step. AI-native Cyber Defense as the result.
Vega connects to your data wherever it lives. Cyber Defense Engineers author detections, attach Skills, and run the full assessment-to-triage loop, headless, from a terminal if they choose. Agentic Detection handles the rest: signals fire, the triage agent investigates across the full dataset, Skills execute, verdicts land.
Federated Analytics
AI-native security analytics across every data source you have: legacy SIEMs, cloud logs, data lakes, object storage. Query in place. Get answers in real time. No ingestion fees, no migration projects, no data left behind. Fully MCP-ready.
Agentic Detection
Vega ships detections across every connected source simultaneously, with continuous assessment of coverage, accuracy, and relevance against MITRE ATT&CK. Detections carry attached Skills, so agents inherit the full context at triage time.
Agentic Triage
AI triage agents investigate every alert autonomously against all enterprise data, fully federated, not just the slice that made it into the legacy SIEM. Skills handle enrichments and correlation. Verdicts in minutes. MTTR drops.
By removing the data-access barrier, Vega takes threat hunting to a whole new level and makes truly preemptive security achievable.
Vega is everything we wanted in a modern, cloud-native detection platform. They meet the data where it lives so my team has essentially zero maintenance, and let us ship detections fast. The simplified architecture, massive time savings, and six-figure cost reduction speak for themselves.
Vega turns threat intelligence into action with effortless IOC correlation across all our data.
I'm pushing for Vega because you solve most of my problems with our cloud telemetry that we can't get into Splunk... We're already having internal discussion about additional use cases for Vega like our FDR data.
This is no longer a theoretical discussion - Vega shows urgency. If we don't implement the detections and add relevant data sources, we are exposed. Concrete threat actors will target our sector
We wouldn't believe it either.
See for yourself how Vega makes your detection and analytics goals a reality, without modifying a thing in your existing stack.
