From Insights to Action: Make Hero AI your SecOps Partner

From Insights to Action: Make Hero AI your SecOps Partner 

As part of our latest 25.3 feature release, we are excited to announce a significant breakthrough in Swimlane’s AI capabilities in the Turbine agentic AI automation platform. Leveraging an MCP framework, Hero can now find, recommend and execute playbooks to transform from an analyst assistant to an active partner for security teams.

The Limitations of Early AI and the Need for Change 

To understand the importance and impact of this Hero AI enhancement, it’s important to know the evolution of large language models (LLMs). Early LLMs were primarily limited to answering questions and generating content based solely on their training data, which often resulted in stale or incomplete knowledge. AI assistants using these early models can provide helpful guidance, explanations, or brainstorming support, but they cannot validate their claims against live data or perform actions on your behalf. This often leads to outdated responses, missed context, or the need for a human to follow up manually. 

The Rise of Tool-Using AI: Bridging the Gap Between Reasoning and Action 

Now, LLMs have moved far beyond this with their ability to “use tools” instead of relying only on what they had learned as part of their training data. These models could call external services, search engines, databases, or even run code to get accurate, real-time results.

This transformation in LLMs has enabled AI assistants to transition from static conversational partners into dynamic problem solvers. A tool-using AI assistant can fact-check itself, analyze spreadsheets, interact with APIs, or yes – even trigger workflows in enterprise systems. This capability bridges the gap between reasoning and action, enabling the AI assistant to not only suggest solutions but also execute them. This critical characteristic of tool use is the foundation for more reliable, practical, and task-oriented AI assistants across business, research, and everyday life.

Meet Your SecOps Hero: Now a More Powerful Collaborator

The new Hero is precisely this, a tool-enabled AI assistant that isn’t just answering questions; it can act. Hero leverages Swimlane Marketplace’s extensive collection of playbooks and integrations, enhancing security analyst productivity by providing real-time access to a vast pool of collective knowledge, making it indispensable in real-world cybersecurity scenarios. 

Hero AI Benefits for Analysts 

Turn Natural Language Commands into Automated Actions

SOC analysts can rely on Hero to help perform dynamic and ad-hoc investigation tasks by simply using plain English commands. Hero can easily understand requests like  “Enrich the observables in this case for me,” or “Block this domain at the firewalls.” 

Speed AI-Enhanced Investigations

In Turbine, playbooks are built using a series of actions, known as components, which are uniquely suited to support AI interaction. Components are modular by design, making it easy to create standardized automation actions that can be reused across larger playbooks or now executed on demand by Hero to speed ad-hoc investigations. 

AI-Guided Remediation and Review 

Based on the analyst’s request, Hero AI will quickly identify the appropriate Turbine playbook action to use for the job, summarize the actions it’s taking, and assist the analyst in performing these tasks. For high-consequence actions, such as specific remediation tasks, Hero AI will also request review and analyst confirmation, ensuring that the analyst is always informed and in control of the investigation.

AI That’s More Than a Feature – It’s a Force Multiplier 

These new Hero AI enhancements step beyond helping you simply think and now allow you to do. Our goal for the Hero isn’t to replace analysts; it’s here to amplify their impact and make them more effective. By handling 99% of tier 1 analysts’ work, Hero makes it easier and faster for analysts to do their jobs, it reduces burnout, and ultimately grows careers.

For organizations, this means faster response times, reduced manual effort, and a more resilient security posture, all without sacrificing human oversight. This is more than just a feature. It’s the next evolution in AI-powered cybersecurity.