


Agentic operators run inside the security stack you already have. The queues, alerts, and approvals that come with every new client get handled automatically, so you can take on more without needing to grow the team.
Your analysts are the integration layer between tools that were never designed to work together.
AI operators absorb the queue work across every client tenant. Your team focuses on what clients actually pay for.
Every new client adds less marginal cost than the last. The business model works the way it should.
Every vendor automates their own silo. But your team still spends hours manually reviewing queues, triaging alerts, and context-switching across tools. Most MSSP operators know exactly which queues are draining their team. The frustration is structural — no single vendor closes the coordination gap, and every new client makes it worse.
Email quarantine, endpoint approvals, DLP violations, access requests. Work that eats analyst time that could go toward work your clients actually pay for.
see how we automate queuesEDR platforms generate thousands of alerts per day. Over half are noise. Your team reviews them anyway because the cost of missing a real threat is too high.
see ai-powered triageEvery new client adds more queues, more platforms, and more manual review cycles. Your economics deteriorate at exactly the point they should improve.
break the ratio















Grid by LimaCharlie connects to the tools your clients already run and automates the decision layer across all of them. No vendor building their own queue automation will ever do that for you.
Grid connects to your existing tools via API. No migration, no new contracts. First queue running in under 15 minutes on your actual environment.
Grid reviews each item in context, handles the decisions that don’t need a human, and logs every action with a full audit trail. Analysts work the exceptions.
Each additional queue takes another 10-minute setup. Grid learns your organizational patterns across all of them, and accuracy improves with every queue you add.
Not ready to activate? Connect Grid in monitor-only mode first and review what it would have done with your actual queues before it takes any action.
When AI operators run the queue work, adding a new client stops meaning adding an analyst. Black Hills Information Security cut cost per endpoint in half and doubled their client capacity with the same team. Recon Infosec reduced mean time to detect and respond by 95% and saved $100K in annual costs.
AI operators review, investigate, and resolve repetitive tasks across every client’s queues. The work gets done without adding headcount.
Operators work inside whatever each client already runs, with no migration and no rip-and-replace. Multi-tenant from day one.
As you build deeper into LimaCharlie, automation expands across every workflow and client you run. The analyst time recovered compounds with every queue you add.
If you're looking at our cost per endpoint...I think it's more than cut it in half... and it's enabled our team to be able to handle twice the amount of customers with our current staff.

Owner, Black Hills Information Security
The platform also aligned with our engineering-centric approach to cybersecurity, which let us focus on our core value proposition: being at the cutting edge of security operations.

CTO, Recon Infosec
Microsoft will address Defender quarantine for Defender customers. ThreatLocker will fix their own approvals. Each solution covers one queue on one platform. MSSPs who wait end up managing separate automations with no shared context and a distinct overhead for each tool. The longer each vendor builds in isolation, the harder that gap becomes to close.
LimaCharlie scales further than standalone AI tools because operators access every platform capability programmatically, across every client environment, from a single pane.
Grid is the only product that automates the approval queue decision across tools that were never designed to work together, because it targets the review pattern itself rather than any single vendor’s queue.
Multi-tenant from day one. Onboard the next client without onboarding the next analyst.
Every decision AI operators make is logged, traceable, and reviewable across every client tenant.
Connect any LLM at no additional cost. LimaCharlie charges per endpoint, not per seat, so the economics stay predictable as your client base grows.
The teams running security for thousands of organizations already build on LimaCharlie. The proof is in their results, not our claims.
↓
↓
LimaCharlie’s infrastructure serves more than managed service providers.
Enterprise engineers configure detection and response to match their environment, not a vendor's assumptions.
Product builders integrate security infrastructure they can inspect, extend, and ship on their terms.
Book a 30-minute session and map how many more clients your current team could serve.
440 N Barranca Ave #5258
Covina, CA 91723
5307 Victoria Drive #566
Vancouver, BC V5P 3V6
Stay up-to-date on all things LimaCharlie with our monthly newsletter.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.