Swimlane Slashes SOC Investigation Costs Up to 90% with AI Routing — Swimlane, Inc.

Event summary

Swimlane introduced intelligent routing for agentic AI in its AI SOC platform, reducing investigation costs by up to 90% for some customers.
The new system evaluates alerts and routes them to deterministic automation, AI-assisted investigation, or fully agentic investigation paths.
A healthcare customer achieved 90% cost savings by reserving agentic AI for only the most complex 10% of threats.
New capabilities include self-learning optimizations that codify knowledge into repeatable playbooks over time.
The Turbine release also expands Hero AI with intelligent visualization, data ingestion, and playbook generation agents.

The big picture

Swimlane's update addresses the growing tension between rising AI token costs and the need for scalable security operations. As AI consumption increases, the ability to dynamically route tasks between automation and AI becomes critical. This move positions Swimlane as a leader in balancing cost efficiency with investigative depth, a strategic advantage in an industry grappling with both talent shortages and budget constraints.

What we're watching

Cost Efficiency: Whether Swimlane's intelligent routing can sustain 90% cost savings at scale across different industries.
AI Adoption: The pace at which security teams will transition from AI-first to hybrid automation-AI models.
Competitive Dynamics: How traditional SOAR and AI-first SOC platforms will respond to Swimlane's differentiated approach.