Swimlane has expanded Swimlane AI SOC with intelligent automation routing to support end-to-end agentic investigations. The new capability evaluates each incoming alert and directs it to one of three execution paths: deterministic automation, AI-assisted investigation, or fully agentic investigation. By matching the level of AI involvement to the work required, Swimlane helps security teams increase investigation capacity without defaulting every task to a costly AI model.
Intelligent routing reduces investigation processing costs up to 90% vs. using AI for every alert.
Routes alerts to deterministic automation, AI-assisted, or fully agentic investigation.
Healthcare customer saved 90% by reserving agentic AI for most complex 10% of threats.
Self-learning optimizations convert AI-driven investigations into repeatable playbooks.
Hero AI features include Intelligent Visualization Agent, Data Ingestion Agent, and Model Selection.
Supports bring-your-own-model (BYOM) with AWS Bedrock model selection.
Security teams are being asked to investigate more alerts with the same headcount, at the exact moment token costs across the industry are climbing. Many AI SOC platforms respond by pushing every task through a model, regardless of whether the task needs one. Swimlane takes a different approach: intelligent routing decides, alert by alert, whether the job needs automation, AI assistance, or a fully agentic investigation, and sends it down that path automatically. The system becomes more scalable and more efficient as it learns from the work it has already done, converting validated AI investigation workflows into playbooks.
For example, a Swimlane healthcare customer who was investigating about 180 threats a day achieved 90% of cost savings by using intelligent routing to reserve agentic AI for only the most complex 10% of threats across their entire investigation workload. The new Intelligent Visualization Agent lets users describe the report or visualization they need in plain language, and Hero AI instantly generates it. The Data Ingestion Agent reduces manual work required to build and maintain integrations. The Enhanced Playbook Generator Agent asks clarifying questions and provides real-time progress updates. Hero AI Model Selection allows customers to select a specific AWS Bedrock model for each agent.
"As AI consumption continues to rise, the next generation of the SOC will not be able to run every task through AI by default. It will know which work actually needs AI," said Cody Cornell, Co-Founder and CEO of Swimlane. "When you're processing hundreds of thousands of investigations, spending five or ten dollars in tokens for each investigation doesn't scale. Swimlane pairs the speed and predictability of automation with AI where reasoning and judgment create real value, so customers can expand what their SOC can handle without replacing an analyst-capacity problem with an AI-spend problem."
About Swimlane
At Swimlane, we believe the convergence of agentic AI and automation can solve the most challenging security, compliance, and IT/OT operations problems. With Swimlane, enterprises and MSSPs benefit from the world's first and only AI automation platform for every security function. Only Swimlane gives you the scale and flexibility to unify security teams, tools, and telemetry, ensuring today's SecOps are always a step ahead of tomorrow's threats.
