Swimlane Turbine sends custom detections into its AI SOC
Original title: Swimlane connects custom detections to AI-led investigation and response
The October release also adds two-way MCP support and a Hero AI agent that builds apps from prompts.
Swimlane announced Turbine features that let teams run their own detection logic across large data volumes and send alerts into Swimlane AI SOC. The company says this covers AI risks such as prompt injection, unsanctioned AI use and bypassed guardrails when vendor detections do not exist. One action can evaluate tens of thousands of records across parallel nodes. Turbine can host or serve MCP so external agents, including Claude, ChatGPT, Cursor, Gemini CLI and Microsoft Copilot, can call governed playbooks.
- Custom detections supplement SIEM, EDR and cloud alerts rather than replacing them.
- Described detections can be turned into playbooks with AI-assisted authoring.
- Hero AI application edits stay unsaved until a person reviews them.
- CEO Cody Cornell said vendor detections miss organization-specific risks.
- Vendors
- Swimlane
From the original article
4 min read at helpnetsecurity.comSwimlane has announced new capabilities in the Swimlane Turbine platform that allow security teams to run their own detection logic against large volumes of data and send resulting alerts directly into Swimlane AI SOC for investigation and response.
By Industry News · helpnetsecurity.com
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