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:

  1. Watches every surface, every tenant, continuously — email, identity, endpoint, dark web, web/WAF, DNS, and AI/shadow-AI — without a human staring at a console.
  2. 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.
  3. Responds in seconds, under your control — containing clear, dangerous threats at machine speed while keeping a human in the loop for everything that needs judgment.
  4. 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 AI SOC analyst, watches all seven surfaces 24/7 across every client tenant, correlates signals into single incidents, and contains threats in seconds — at the autonomy level you set. Every action is reversible, denyset-protected, and written to a hash-chain audit trail.
  • Argus, the vCSO, translates incidents and posture into owner-readable language and writes the cyber-insurance readiness report for each client — over the channels you already use.

You set the autonomy per action and per client, from Watch → Recommend → Approve → Auto-contain. Tier-1 handles the queue; the AI handles the night shift.

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, Autotask, NinjaOne, Entra, Google Workspace, JumpCloud). 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.

And because it’s co-branded (not white-labeled away), the work shows up under your brand — closing the 35-point AI-delivery gap your clients are asking you to fill, and turning the 47% who’d switch into the 47% you keep.

Want the buyer-side view? Read the cyber-insurance readiness checklist. Ready to see it run across multiple tenants? Talk to us about the partner program.

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.