
Low-code security automation company Swimlane LLC today announced the next evolution to its Hero AI platform designed to bring agentic artificial intelligence automation deeper into security operations.
The evolution allows Hero AI to leverage Swimlane Turbine’s catalog of playbooks and integrations in real time, significantly increasing the productivity of security analysts. The company says that evolution marks a major step toward autonomous incident response, moving beyond playbooks to give security teams more flexible, intelligent and powerful ways to manage their workload.
“Hero AI is crossing a critical threshold in its evolution, bringing the future of the AI-driven SOC into sharper focus,” said Chief Information Security Officer Michael Lyborg. “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.”
The latest release allows Hero AI to execute playbooks on demand, leveraging a Model Context Protocol framework. The AI can now find, recommend and execute playbooks that allow security teams to automatically distribute best practices and institutional knowledge among their teams, marking a shift to AI-driven automation.
Swimlane says the result is 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 that allows analysts to issue plain English commands, such as “isolate this laptop from the network,” to leverage AI to trigger automated playbooks. Hero AI can identify the right playbook actions based on the analyst’s request and the current case context.
The update also offers pre-execution summaries and confirmations, where Hero AI provides a clear summary of the action and its inputs and requires user confirmation for key actions before running an automation. The safeguard ensures analysts remain fully aware and in control, preventing unintended consequences while maintaining trust in automation.
Another update, Hero-triggered run tracking, 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.
Swimlane was previously in the news in June when it raised $45 million in new growth funding to fuel product innovation and global channel expansion, including further development of Hero AI. Energy Impact Partners and Activate Capital led the growth funding round, with Trinity Capital Inc. also participating.
Photo: Swimlane
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