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Vega Agentic Search turns a plain-language question into a complete, evidence-backed threat hunt. It plans the investigation, searches across all connected data sources, analyzes findings, and pivots automatically when it finds something relevant. Every step links to the exact query and results, so analysts can verify the agent’s conclusions. Hunts that once took hours can now be completed in minutes.

Vega and BlinkOps are integrating to close the gap every Cyber Defense Engineer lives with daily: the distance between a triage verdict and an automated response. Vega federates detection and Agentic Triage across the full data estate; BlinkOps turns the verdict into action across 30,000+ integrations spanning security, IT, HR, legal, GRC, and engineering - closing the detection-to-response loop at AI speed.

While most security platforms need months to connect a new model to real data, Vega didn't. As an OpenAI launch partner for GPT-5.6, Vega connects the model straight into the Security Analytics Mesh through MCP, querying live data across Legacy SIEMs, data lakes, and object storage from day one.

For a long time, I believed the challenges I encountered during incident response were simply the unavoidable costs of the job. I knew these problems could be solved, but every solution seemed too complex and too impractical to implement. It wasn't until I learned how Vega approaches federated search that I realized many of these challenges weren't inevitable after all.

Vega now integrates directly with Anthropic's Claude Compliance API, bringing Claude Enterprise activity into the same platform your security team already uses to investigate everything else.

Vega and Torq are integrating to close the detection-to-response gap, connecting federated detection and agentic triage directly to automated response, so the loop closes in a single workflow instead of a relay race between tools.

Vega's Security Analytics Mesh closes the agentic AI security gap that no model API or AI governance tool can reach - federating model, endpoint, network, and cloud telemetry in place to give security teams instant, correlated visibility into what every AI coding agent actually does, with no ingestion, no data movement, and detection coverage live in days.

Vega's AI onboarding pipeline turns weeks of manual parser writing and field mapping into under an hour of fully automated, detection-ready data - a breakthrough that makes every new connector instantly usable, consistently normalized, and ready to power reliable detections from day one.

Vega's integration with Cyera brings real-time data sensitivity and identity context into every detection and investigation. SOC teams can prioritize alerts tied to sensitive data and high-risk identities, without duplicating data or pivoting between tools. The result: faster investigations and decisions grounded in real risk.