LimaCharlie

LimaCharlie

@limacharlie.io

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

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Validating a detection rule against live malware execution used to mean spinning up infrastructure, running the sample, and eating the time and cost of doing it safely. That process is expensive enough that most rules go untested. Read the full walkthrough: limacharlie.io/blog/threat-...

limacharlie.ioValidating detection rules against live malware with AIPart 2 of a series on AI-assisted malware analysis. Claude builds detection rules from static analysis, deploys an Azure sandbox, detonates live malware, and fixes rules that don't fire on the first r...

Email Security is now in LimaCharlie for M365 and Google Workspace. Every message shares a data lake with your EDR and identity telemetry, so a phish that drops a binary becomes one detection. $1/mailbox/month, no MX changes. limacharlie.io/blog/announc...

limacharlie.ioAnnouncing LimaCharlie Email Security | LimaCharlieimaCharlie Email Security is now available, with explainable verdicts, audited remediation, and email events in the same lake as your EDR for Microsoft 365 and Google Workspace.

AI Sessions in the LimaCharlie web application now run on OpenAI, Google Gemini, and OpenRouter models, in addition to Claude. Connect your own credentials and pick a provider per session profile. The session behaves the same no matter which model is doing the work. limacharlie.io/blog/ai-sess...

SECNAP walks through what happens when an AI agent gets the first look at a multi-alert incident. This live attack simulation shows where their AI agents handled tier one and tier two triage end to end before a human analyst reviewed and approved the response. www.youtube.com/watch?v=izQC...

Rules that work well for smaller customers can break down the moment a much larger customer comes on board. Our infrastructure lets Soteria manage customization at scale, storing detection rules and configurations in GitHub and deploying changes across tenants. www.youtube.com/watch?v=kt7K...

In Grid we can set up multi-agent workflows with one agent collecting data, another analyzing it, and a third handling mitigation. See what's driving MSSPs to adopt AI, how infrastructure-level AI differs from advisory tools, and how to keep humans in the loop: www.youtube.com/watch?v=nY5Y...

AI agents in the SOC can take real action, which means access control isn't optional. In a recent webinar, we explain why role-based access controls are what make autonomous AI safe to deploy: agents only get the permissions you configure, nothing more. www.youtube.com/watch?v=nY5Y...

Paul Ihme, co-founder of Soteria, sat down with us to talk through the tuning work that came with scaling their client base, how Soteria structures detection rules across customer environments, and the build versus buy decision that shaped their whole MDR practice. www.youtube.com/watch?v=kt7K...

Get a practical roadmap for moving AI in the MSSP SOC from pilots to production. We'll cover where AI delivers value first, what your telemetry needs to look like before AI can help, and how to keep humans in control with approval workflows and full audit trails. limacharlie.io/webinars/fro...

LimaCharlie Cloud Security is our CNAPP for AWS, GCP, and Azure. What makes it different starts with how it's built: every page pulls from the same underlying security graph, instead of treating each area as its own silo. That model powers the entire platform: www.youtube.com/watch?v=kY41...

lc.pubLimaCharlie Cloud Security: CNAPP WalkthroughEnjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

Our CNAPP, LimaCharlie Cloud Security, is built directly on the same detection and response engine as the rest of the platform. Every finding it produces lands in your tenant's event stream as a native event, the moment it's produced, alongside endpoint telemetry and everything else you ingest.

In a live attack simulation on LimaCharlie, SECNAP's AI agent investigated a sandboxed host and passed findings for human analyst review. This is what human oversight looks like: every agent action stays visible to the analyst before anything reaches the customer www.youtube.com/watch?v=izQC...

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

Tune in Wed. to see how SECNAP built a full agentic MDR platform on top of LimaCharlie. We will walk through the customer portal, the SOC dashboard, and a live attack simulation showing how AI agents handle triage before a human reviews/approves the response. limacharlie.io/webinars/ins...

Build a complete detection pipeline with Claude Code today at 10am PT. We'll walk through: ingesting a cloud log source, authoring a detection rule and validating it against historical telemetry, deploying an EDR agent, and shipping a custom dashboard app. limacharlie.io/webinars/hea...

This Wed. we'll run a hands-on session where you'll connect Claude Code directly to Grid in a live environment. Ingest a cloud log source, author a detection rule and validate it against historical telemetry, deploy an EDR agent, and ship a custom dashboard app. limacharlie.io/webinars/hea...

LimaCharlie Cloud Security is now available - a CNAPP for GCP, AWS, and Azure at $150 per org/month. Every finding it produces is a native event in the same detection and response engine that already runs endpoint fleets, ingests telemetry, and executes response. app.limacharlie.io/onboard?purp...

By the end of our upcoming workshop, you'll have a working detection pipeline built, a cloud log source ingested, and a custom dashboard app shipped, all with Claude Code connected directly to Grid. No prior LimaCharlie experience needed. Seats are limited: limacharlie.io/webinars/hea...

Grid tracks what your AI operators are actually doing: automation rate, analyst hours freed, and cost per case, broken down by model, rules, and agent. Max covers cost profiling, our ROI dashboard, repetitive review work, cross-tenant operations, and audit trails: www.youtube.com/watch?v=Iihp...

CLUE and Databricks' triage agents converged on the same architecture independently. Both systems also end where response begins. An agent investigates and hands the finding to a human. Grid by LimaCharlie is built differently on both counts. Full breakdown: limacharlie.io/blog/agentic...

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/...

lc.pubLimaCharlie 101: EDR deployment, detection rules, and threat intelligenceThis 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...

Most AI security products are black boxes. You see the output. You don't see what the agent did to get there. With Grid, every action an AI operator takes is logged, auditable, and inspectable through the same API surface that created it. See it for yourself: www.youtube.com/watch?v=Iihp...

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.

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.