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SecOps with Claude CodeNew

Because 100 percent of LimaCharlie is covered by API, Claude Code can operate the whole platform, and the LimaCharlie CLI gives it the same operational access as a human analyst. Describe the outcome in plain language, and the work gets done: sensors deployed, detection rules written and tested, telemetry hunted, tenants managed.

How it runs on LimaCharlie
01

Connect

The integration needs a Linux system, a Claude Code account, a free LimaCharlie account, and about ten minutes. The LimaCharlie plugin installs with two short commands, with no custom infrastructure and no professional services engagement.

02

Operate in plain language

A prompt like “create a new org and install a sensor on this system, then verify it's connected” replaces several trips through a UI. Claude Code works through the steps, requests approval on each action, and confirms the result.

03

Engineer detections

Ask for a rule in natural language and get valid detection and response logic, tested against retained telemetry before deployment. Claude Code can also translate community rules into LimaCharlie's format and tune noisy rules down.

04

Hunt and investigate

Query a year of retained telemetry conversationally, from “summarize suspicious activity on this endpoint” to full retroactive hunts across tenants.

05

Scale it

Workflows can be codified as skills and run across every tenant an MSSP manages. Every action is logged and scoped to the permissions of the credential it runs under.

Cost

The integration is available on the free community tier, and AI runs against your existing Claude subscription rather than a separate platform fee. Supporting code lives in the open-source lc-ai repo.

AI detection engineeringAI-assisted investigationSecOps development
GITHUBlc-ai: LimaCharlie AI skills repoDOCSAI skillsBLOGConnect Claude Code to LimaCharlieWEBINARFull SOC ops with Claude Code webinar

Deploy your first sensor on the free community tier, or walk through it with a solutions engineer.

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