Is a 24/7 SOC worth it?
Compare the cost of managed monitoring to the cost of an incident it prevents. Get your estimated return on investment in seconds.
Estimated return on investment
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How this calculator works
You enter three numbers: number of employees, the estimated cost of a major incident, and the probability of such an incident happening within a year.
The calculation compares two annual amounts: the risk without a SOC (probability multiplied by the incident cost), and the cost of a managed SOC, estimated at $800 per month plus $20 per employee per month. The assumption is that a SOC reduces realized risk by 60% — that avoided risk, minus the SOC's cost, gives the net gain and the ROI shown.
Worked example: 25 employees, a major incident estimated at $250,000, a 25% probability over a year. SOC cost: (800 + 25 × 20) × 12 = $15,600/year. Risk without a SOC: 25% × $250,000 = $62,500/year. Risk avoided (60%): $37,500/year. Net gain: $37,500 − $15,600 = $21,900/year. ROI: 21,900 ÷ 15,600 × 100 ≈ 140%.
Both assumptions (per-employee SOC cost, 60% risk-reduction rate) are programmed into the tool, not drawn from an external study. The result is meant to compare a scenario, not to replace a real quote — the cost of a managed SOC varies with the scope of service.
Reading the result: a positive ROI doesn't mean "free" — it means the risk avoided exceeds the cost of the service, based on your own numbers. If the probability or incident cost you entered are rough estimates, adjust them: that's the point of the calculator, not a number to take literally.
Frequently asked questions
Is the $800/month + $20/employee a real price ?
It's the estimate programmed into the tool to give a ballpark, not a quote. The real price depends on the scope of service requested.
Where does the 60% avoided risk come from ?
It's the assumption used in the calculation — a SOC that detects and responds early reduces realized risk, without bringing it to zero. It's not a published industry average.
What if my probability estimate is wrong ?
Change it — that's exactly why the field is adjustable. The result follows your assumptions, not ours.