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    Home»Innovation»Swimlane unleashes agentic AI fleet and agent builder for cybersecurity
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    Swimlane unleashes agentic AI fleet and agent builder for cybersecurity

    InfoForTechBy InfoForTechJanuary 27, 2026No Comments3 Mins Read
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    Swimlane unleashes agentic AI fleet and agent builder for cybersecurity
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    Swimlane Inc., a company that automates agentic artificial intelligence for cybersecurity, today announced AI Agent workforce, a suite of powerful AI agents now available in the company’s marketplace and integrated into the platform.

    “AI is opening the aperture greater than ever before on what can be automated in security,” said co-founder and Chief Executive Cody Cornell. “Security workflows that once required human-in-the-loop can now leverage expert agents to drive even more automation in their environments.”

    The company calls the agents Hero AI and said they are integrated natively into the company’s Turbine platform experience. It says they perform the equivalent work of more than 60,000 security operations center analyst work each day across Swimlane’s customer base daily.

    The release also introduces an update to Turbine Canvas, a low-code automation studio, which allows users to drag-and-drop AI agents directly into playbooks. The company said this will allow companies to rapidly automate business design across teams.

    All this builds on four foundational cybersecurity agents launched in November 2025. The new features include agents as intelligent microservices, playbooks as orchestrators and structured workflows.

    Agents can now perform complex reasoning, meaning they can execute multiple tasks that once took multiple deterministic steps, like querying multiple feeds, but within a single instance. Playbooks allow customers to control their entire experience by defining logic, optimizing costs and enforcing guardrails, including triggering AI or requiring human-in-the-loop validation. Structured workflows make advanced AI accessible to less technical users.

    The company focuses on allowing users to opt in to natural language in playbooks when defining automations and controls. It also provides a comprehensive library of building blocks and connector integrations that guide building better security solutions.

    “It’s about using automation where it works best and augmenting it with AI when dynamic reasoning is required,” Cornell added. “That’s how AI and automation truly converge to power the modern AI SOC.”

    Swimlane said this isn’t simply adding new features; it’s trying to add security operations capabilities. According to Chief Information Security Officer Michael Lyborg, this has led to a 75% reduction in the mean time to respond and thousands of cases closed autonomously. “That’s the measurable impact of AI-powered automation done right,” he said.

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