Customer-Built AI Agents for Microsegmentation Platform

Teams can script discovery, manage Zero Trust, and pull posture reports, then use AI to check segmentation.

Industrial Cyber

Elisity has launched Elisity CLI, an open command-line interface that lets security and network teams run their own AI agents against the Elisity platform. Teams can script discovery, manage Zero Trust least-privilege access policies, and pull posture reports, then point their own AI orchestrators at the platform to keep checking that segmentation controls still hold.

Security teams point whatever agent they already run at an open interface, and built-in guardrails stop that agent from acting on a guess or making a change nobody approved. Because every action runs on identity through Elisity IdentityGraph™, an agent works from many data points Elisity has already ingested and correlated, so it can tell what a device really is instead of guessing from an IP address. Teams automate only what they want, and a person signs off before anything changes.

A CLI inverts the model. It runs only when it is called, it runs under the caller's own credentials and permissions, and every state-changing command stops for human approval. Elisity built the CLI for teams that want to run the platform programmatically and stand up their own agentic workflows:

  • 466 commands covering the Elisity Cloud Control Center API, plus reporting on Zero Trust posture scores, per-site metrics, and traffic and threat vectors.
  • An operating guide and command glossary for AI agents like Claude or ChatGPT, so an agent runs a real command instead of inventing one.
  • Human approval on every state-changing command, and a separate confirmation for deletes.
  • Output in JSON, table, YAML, or CSV, with profiles for production, staging, and lab.

For more information, go to www.elisity.com.

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