Swimlane connects custom detections to AI-led investigation and response
Swimlane Turbine platform enhances AI-led security investigation and response with custom detection capabilities.
Swimlane has released new capabilities for its Turbine platform, enabling security teams to implement custom detection logic against large datasets. These custom detections can then feed directly into Swimlane AI SOC for investigation and response, addressing emerging AI-specific threats like prompt injection and unsanctioned AI use that may be missed by commercial tools. The update also includes two-way Model Context Protocol (MCP) support and a new Hero AI agent for application building.
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The lesson from this incident
Full lessonAs AI systems proliferate within enterprise environments, traditional commercial security tools are failing to detect emerging threats like prompt injection attacks and unsanctioned AI usage. The gap between what off-the-shelf tools cover and what AI-driven workflows actually expose creates significant blind spots for security operations teams. Swimlane's update highlights that organizations cannot rely solely on vendor-provided detection logic when novel attack surfaces are evolving faster than tool vendors can respond. Without custom detection capabilities feeding into automated investigation workflows, AI-related incidents may go undetected until significant damage has occurred. This matters because prompt injection and shadow AI use can lead to data exfiltration, policy violations, and compliance failures.
What helps against this
How we list vendors- SOC automation and AI analysts
Alerts arrive faster than the team can investigate them, so real attacks wait in the queue or are closed unread.
- AI application security
Prompt injection, data leaks through AI tools and unapproved AI use get caught.