Reasoning Meets Reliability: An Operating Model for AI in SecOps
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At Victrix, a 100+ customer MSSP, every AI conclusion matched independent analyst judgment.
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Hero AI agents and automation are providing the work of over 60,000 security personnel daily.
Model Context Protocol (MCP) is an open protocol that lets AI agents discover and call external tools. Swimlane Turbine supports MCP in both directions, so Hero AI can use outside tools and outside AI clients can run governed Turbine automation.
Hero AI connects directly to third-party MCP servers and uses their tools during investigations and playbooks. Admins control authentication and access centrally.
Claude, ChatGPT, Cursor, Gemini CLI and Microsoft Copilot can invoke Turbine components, including multi-step playbooks, within your existing role-based access controls.
Turbine combines MCP tools with Swimlane's API integrations, connecting its broad integration library with external MCP-compatible tools and workflows.
Watch how Hero AI turns plain-language prompts into fully scoped, secure AI agents that are fully capable of doing work on your behalf within Swimlane AI SOC.
Hero AI is a collection of generative and agentic AI capabilities in Swimlane Turbine. It lets you build and deploy expert AI agents that reason, plan, and act across your AI SOC, from generating a verdict to running a full investigation.
A fully agentic investigation is one Hero AI runs end-to-end with zero human configuration. Trigger it from a webhook or an API call, and the Investigation & Response Agent takes an alert from trigger to verdict on its own, no playbook required.
At Victrix, an MSSP protecting more than 450,000 endpoints, every Hero AI investigation conclusion matched independent analyst judgment across its live AI-assisted playbooks.
No. Hero AI runs fully agentic investigations for the alert types you trust it with and works alongside analysts on everything else, surfacing context, recommending next steps, and executing the actions they approve. You decide which cases Hero AI handles on its own and which stay with your team.
Yes. Hero AI Model Selection lets you choose the AWS Bedrock model for each agent, so you can balance cost, performance, and availability task by task, and bring your own model from Anthropic and select Bedrock models when you need to..
Yes. Swimlane holds ISO 42001, ISO 27001, and ISO 27701 certifications and is the first AI SOC platform to earn FedRAMP High authorization, the U.S. government’s highest bar for unclassified systems.
Hero AI must be enabled in your Turbine tenant. Request a demo to see it in action, or talk to your Swimlane representative about turning it on.
Yes, in both directions. As an MCP host, Hero AI connects to third-party MCP servers and uses their tools during investigations and playbooks. As an MCP server, Turbine lets AI clients such as Claude, ChatGPT and Microsoft Copilot invoke governed playbooks within existing role-based access controls.
Yes. The Hero AI Application Builder Agent creates and modifies applications, record structures, layouts and workflows from natural-language prompts. AI-generated edits stay unsaved until a person reviews them: Hero AI highlights each change, and you accept or reject it before anything persists.
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