LimaCharlie

@limacharlie.io

Security tools and infrastructure on-demand. Use LimaCharlie to automate and manage security operations at scale.

The gap between running a breach simulation and selling it as a managed service is a capacity problem. Grid closes it. Define a kill chain, point it at a tenant, and it runs daily across every client, evaluates coverage and feeds gaps to your workflow automatically. limacharlie.io/webinars?wch...

Our 101 workshop is this week! Work directly inside the platform deploying EDR agents, analyzing telemetry to surface IoCs, and writing D&R rules across the spectrum from malware to APTs. We also cover threat intelligence integration and YARA rule creation. limacharlie.wistia.com/live/events/...

LimaCharlie 101: EDR deployment, detection rules, and threat intelligence

This workshop will cover the basics of the LimaCharlie SecOps platform. You will learn how to deploy EDR agents, gather additional telemetry and write detection and response rules, and integrate threa...

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This week, Defender Fridays ends where it began — with creator @eric.zip, joining us for a final conversation on how he's actually using AI in the SOC. 100+ sessions. A community that showed up every single week. Over two years of defenders showing up for defenders. Thank you for being part of it.

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Our API-first architecture gave us an advantage when AI arrived. Because every platform function is exposed through the API, Claude Code can be taught everything it needs to operate your SOC, how to write detections, query telemetry, deploy sensors, and more. Learn more: limacharlie.io

The reason AI agents work differently in LimaCharlie comes down to how the platform was built. Because every capability was built to be accessed programmatically, achieving full AI parity through the MCP and CLI was a natural next step. A human analyst and an LLM now operate with the same access.