Swimlane unveiled the latest evolution of Hero AI, its suite of generative and agentic AI capabilities. The update allows Hero AI to tap into Swimlane Turbine’s extensive library of playbooks and integrations in real time, boosting security analyst productivity and sharing the collective knowledge of thousands of users. This advancement represents a significant move toward autonomous incident response, offering security teams smarter, more flexible, and more powerful tools to manage their workloads.
This evolution further establishes Turbine as the central portal for all security operations actions, seamlessly integrating Hero AI as an active partner. By intelligently automating repetitive tasks and optimizing critical decision-making, analysts are empowered to amplify their capabilities, significantly reduce manual effort, alleviate burnout, and strengthen overall resilience. This agentic approach enhances day-to-day efficiency and fosters deeper adoption, ultimately leading to long-term value for security teams.
“Hero AI is crossing a critical threshold in its evolution, bringing the future of the AI-driven SOC into sharper focus,” said Michael Lyborg, CISO at Swimlane. “By moving from simply informing analysts to executing automations on their behalf, we’re setting the stage for a near-term future where 99% of tier-1 SOC analyst tasks can be handled through AI-driven automation. That means faster response, less burnout and a more resilient security posture, freeing analysts to focus on the complex challenges that demand human expertise.”
From Insights to Automated Action
The latest Turbine release allows Hero AI to execute playbooks on-demand, leveraging an MCP framework. AI can find, recommend, and execute playbooks to empower security teams to automatically distribute best practices and institutional knowledge amongst their teams, marking a shift to AI-driven automation. This significant enhancement delivers smarter, safer automation by combining natural language execution with built-in guardrails of predictable automation for accuracy, trust and speed. New Hero AI capabilities include:
- Natural Language Playbook Execution: Analysts can now issue plain English commands, such as “isolate this laptop from the network” to leverage AI to trigger automated playbooks. This removes the need to search for and trigger specific playbooks, simplifying workflows, saving time and reducing cognitive load during high-pressure situations.
- Dynamic Playbook Discovery: Hero AI can identify the right playbook actions based on the analyst’s request and the current case context. Instead of relying on large, static playbooks, analysts can assemble and execute modular actions as needed, ensuring the most effective response while reducing complexity and the risk of error.
- Pre-Execution Summaries and Confirmations: Before running an automation, Hero AI provides a clear summary of the action and its inputs and requires user confirmation for key actions. This safeguard ensures analysts remain fully aware and in control, preventing unintended consequences while maintaining trust in automation.
- Hero-Triggered Run Tracking: This makes it easy to track and distinguish between actions triggered by Hero AI versus those run within a traditional playbook, which is essential for debugging and auditing.
“AI’s role as an active partner for SOC teams is quickly becoming an industry reality,” said Edward Amoroso, Founder and CEO of TAG Cyber. “With continued AI innovation, this Hero AI release marks a significant step toward that future, proving that AI can move beyond vendor claims to deliver true automation at scale, giving analysts more control and flexibility in managing their cases. In a crowded market, Swimlane is setting the pace by bringing the promise of AI SOC to life today.”
To learn more about Hero AI, visit the Swimlane website here.
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