Every MSP knows the uncomfortable truth: the attacks that hurt most happen when nobody’s watching. Huntress measured an average time-to-ransom of ~17 hours from initial foothold — which almost always spans an overnight or a weekend. But staffing a 24/7 SOC across a fleet of small clients is economically impossible for most MSPs. So how do you deliver around-the-clock outcomes without around-the-clock headcount?
The MSP squeeze is real
The market data shows exactly why this matters now:
- 71% of MSPs grew cybersecurity revenue year-over-year — it’s the fastest-growing line in their book. (Kaseya 2026 State of the MSP Report)
- But MSP talent stress nearly doubled in a year: 16% can’t hire skilled technicians, up from 9%. (Kaseya 2026)
- 48% of MSP clients say AI/automation is their #1 IT need, but only 13% of MSPs generate meaningful revenue from AI services — a 35-point delivery gap. (Kaseya 2026)
- Meanwhile 73% of SMBs aren’t confident their MSP could defend them during an active attack, and 47% would switch providers for stronger security. (ConnectWise State of SMB Cybersecurity 2025)
So the demand is there, the revenue is there — but the people to deliver it are not. That gap is the whole problem.
What “24/7 without a 24/7 team” actually requires
You can’t solve a coverage problem by hiring; the talent isn’t available and the margins won’t support it. You solve it by changing who does the watching. That means an AI security team that:
- Watches every client, continuously — identity, endpoint, email, how people use AI, and AI agents — without a human staring at a console.
- Triages and correlates automatically — collapsing a flood of low-signal alerts into a handful of real, cross-surface incidents, so your humans only touch what matters.
- Responds in minutes, under your control — containing clear, dangerous threats in minutes, not the hours or days attackers count on, while keeping a human in the loop for everything that needs judgment.
- Explains itself in plain English — so a tier-1 tech (or the client) understands what happened without reading raw logs.
How Centeye delivers it
Centeye runs your fleet on two AI agents:
- Kavach, the Praxis analyst, watches identity, endpoints, email, AI use and AI agents 24/7 across every client, joins signals into one case, and contains threats within the rules you set. Every action is checked at the provider afterwards and recorded.
- Argus, the Praxis advisor, turns cases into owner-readable language and drafts each client’s weekly report, over the channels you already use.
You set how each action runs, per action and per client: recommend only, manual, ask first or automatic. Tier-1 handles the queue; Praxis handles the night shift within the rules you set.
The multi-tenant advantage
Centeye is multi-tenant by default: one pane of glass across every client, per-client policy templates, and integration with the PSA/RMM and identity tools you already run (ConnectWise PSA, Autotask, ConnectWise Automate, NinjaOne, Microsoft Entra ID and Google Workspace). That matters because 65% of incidents involve abuse of RMM software — a 277% YoY surge (Huntress 2025) — so the control plane you use to manage clients has to be a security feature, not a liability.
That is how you close the 35-point AI-delivery gap your clients are asking you to fill, and keep the 47% who would otherwise switch.
New to the idea of AI agents doing first-line triage? Read what an AI SOC is. Want the buyer-side view? Read the cyber-insurance readiness checklist. Ready to see it run across your clients? See how Centeye works for MSPs.
Figures cited from the Huntress 2025 Cyber Threat Report, the Kaseya 2026 State of the MSP Report, and the ConnectWise State of SMB Cybersecurity 2025.