AI-Powered Detection Coverage and Resilience.
Shifting from manual to automated isn't enough. Vega’s Security Analytics Mesh (SAM) delivers AI-assisted authoring, validation, and continuous tuning of Detection Coverage. Utilizing federated analytics, SAM enables correlated detections across data sources so teams move from prototype to production detections faster, and transform MttD and MttR.
Agentic, Cross-Platform Detection
Build Once, Run Everywhere
Create detections in natural language or KQL and deploy them against any and all data sources, fully vendor agnostic. Unify telemetry and context from every location to deploy advanced, actionable attack scenarios.
Superior Detection Resilience
Whether building your own, adopting from the MITRE-aligned Vega library, or migrating your existing detections, SAM agentically assesses your detection library - optimizing coverage gaps, missing visibility, and noisy rules.
Operationalize Threat Intelligence
SAM transforms any threat intelligence feed, briefing, or URL into queries, hunts, and detection rules, as well answers to whether you're exposed or have the right telemetry to answer the question.
Curious if Vega
could work for you?
See for yourself how Vega makes your detection and analytics goals a reality, without modifying a thing in your existing stack.
