Swimlane Inc. has launched its AI Agent workforce, a suite of agentic artificial intelligence agents designed to supercharge cybersecurity operations by handling the workload equivalent to more than 60,000 security operations center analysts each day across its customer base. The Denver-based company integrated these agents natively into its Turbine platform, marking a significant escalation in the race to automate security tasks amid a global shortage of cybersecurity talent exceeding three million professionals.

The announcement, detailed in a SiliconANGLE report, builds on four foundational agents introduced in November 2025. These new agents function as intelligent microservices capable of complex reasoning, executing multiple tasks in a single instance such as querying diverse data feeds. Swimlane co-founder and CEO Cody Cornell emphasized the breakthrough: “AI is opening the aperture greater than ever before on what can be automated in security. Security workflows that once required human-in-the-loop can now leverage expert agents to drive even more automation in their environments.”

An update to Turbine Canvas, the low-code automation studio, enables users to drag-and-drop these agents into playbooks, facilitating rapid automation design across teams. Playbooks serve as orchestrators, enforcing logic, optimizing costs, and applying guardrails like human-in-the-loop validation. Natural language inputs further democratize access for non-technical users, supported by a comprehensive library of building blocks and connectors.

Roots in Hyperautomation Evolution

Swimlane’s push into agentic AI stems from its positioning as the world’s largest independent security hyperautomation vendor. The Turbine platform, central to its offerings, unifies security tools, telemetry, and processes beyond traditional SOC functions into vulnerability management and compliance. An independent study by TAG Cyber found a 240% ROI for Turbine in the first year, with capabilities to execute 25 million daily actions at 75,000 per minute.

Customers include over 50 Global 1,000 companies, 26 U.S. federal agencies, and five top global system integrators, as noted in a SecurityWeek article on its $45 million growth funding round in June 2025, led by Energy Impact Partners and Activate Capital, bringing total funding to $215 million. The funds targeted Hero AI expansion, Swimlane’s private agentic AI SecOps companion, which ensures customer data never trains models and provides individualized AI risk assessments.

Hero AI, integrated into Turbine, delivers context-aware triage, summarization, and playbook execution. Tracey Webb at Global Data Systems praised it: “Hero isn’t just a tool — it’s a paradigm shift for security operations. Its agentic AI capabilities bring autonomy, adaptability, and goal-oriented action into our workflows.” Customers report 20% productivity gains beyond automation alone, equivalent to adding 20 virtual analysts.

Performance Metrics Reshape SOC Economics

Swimlane claims a 75% reduction in mean time to respond and thousands of cases closed autonomously, metrics validated across its base. Chief Information Security Officer Michael Lyborg attributed this to “AI-powered automation done right.” The platform’s speed—17 times faster than traditional SOAR tools—addresses alert fatigue, where 83% of alerts are false positives, per company research.

In a January 2026 partnership with Wiz, Swimlane joined the Wiz Integration Network to enhance cloud vulnerability response. David Irwin, VP of Product Management at Swimlane, stated: “Security teams shouldn’t have to choose between speed and accuracy. With Swimlane and Wiz, they no longer have to.” This extends Turbine’s reach into cloud security operations.

The AI Agent workforce marketplace now offers pre-built agents, lowering barriers for deployment. Cornell added: “It’s about using automation where it works best and augmenting it with AI when dynamic reasoning is required. That’s how AI and automation truly converge to power the modern AI SOC.”

Agentic AI Differentiates from Generative Hype

Unlike generative AI focused on content creation like summarization, agentic AI in Swimlane’s stack emphasizes goal-directed action: prioritizing cases, remediating alerts, and resolving incidents. A company blog post distinguishes: “AI agents can decide whether to act to resolve the problem. For example, a cybersecurity AI agent can take context from their environment, seek and augment a piece of information.” Guardrails from deterministic automation ensure reliability.

Swimlane’s 107% year-over-year adoption growth in 2024, reported via BusinessWire, underscores demand. The firm targets profitability, with 75% of business through channels like MSSPs and resellers. Recent hires, including a strategic R&D center in India, accelerate agentic innovations.

Case studies highlight real-world impact. Matt Helling, Head of Cybersecurity at a customer, noted: “With Swimlane, we didn’t have to try and fit our outcome into a preconceived box that had already been developed. Swimlane allowed us to build something that worked for us.” Tanajak Watanakij, VP of Cybersecurity at RV Connex, added: “Swimlane’s playbooks and dashboards are highly customizable, which was the biggest reason for our selection.”

Challenges and Broader Industry Shifts

While agentic AI promises efficiency, integration with existing stacks remains key, given evolving attack surfaces. Swimlane’s infinite integrations and low-code Canvas address this, but competitors like Stellar Cyber tout 8x faster detection in agentic SOC platforms. Swimlane counters with explainable outcomes and human oversight for high-stakes decisions.

The firm’s November 2025 launch of incident response agents via Hero AI set the stage, enabling real-time triage. A Yahoo Finance piece described it as changing “security operations by providing a centralized hub where intelligent agents deliver real-time triage and explainable decisions at superhuman speed.”

As threats leverage AI for scale—average breach costs $4.5 million—Swimlane’s approach aligns automation with dynamic reasoning. CEO Cornell’s vision positions it to lead in an era where SecOps must outpace adversaries through AI-orchestrated workflows.