Cybersecurity ROI Calculator
In production across 300+ enterprise environments
$2.65M Over Three Years for an 8-Analyst SOC
Modelled at 4,000 alerts a month, 20% annual alert growth, and list price. Same maths as the calculator below.
Three-year saving
$2.65M
$6.02M in hires, playbooks, hunts, and outside tests. $3.37M with Simbian.
- Payback
- 8 months
- after the first annual payment
- Hires to keep pace
- 2 instead of 11
- by year three, same team in control
| Year | Without Simbian | With Simbian |
|---|---|---|
| Year 1 | $1.54M | $874K |
| Year 2 | $1.95M | $1.12M |
| Year 3 | $2.52M | $1.38M |
Where the $2.65M comes from
three years, list price
- Alert investigation$1.43M86% → 10% queue load
- Playbooks retired$834K1,520 engineering hours a year
- Threat hunting$301K264 hunts a year
- Penetration testing$155K10 tests → 20 runs
In production
2+ hours → under 15 seconds
Identity-compromise response · A $1.8B credit union
In production
12× alert coverage
No added headcount · An MSSP serving the Middle East
Run It on Your Own Numbers
Ten inputs. Every other default is in the strip below.
What you run today
Your team
Alert investigation
Threat hunting
Penetration testing
Three-year saving
$2.65M
- Payback
- 8 months
- Analyst hours back
- 12,348 a year
- Alert to response
- 3.5 hours → 17 min
- Hires to keep pace
- 2 instead of 11, by year 3
- Alert investigationqueue load 86% → 10%+$1.43M
- Playbooks retired1,520 engineering hours a year+$834K
- Threat hunting264 hunts a year+$301K
- Penetration testing10 outside tests become 20+$155K
Three-year totals at list price, breach-cost savings excluded. Simbian is billed annually in advance, which is why payback lands after the first payment rather than in month one.
How the Cybersecurity ROI Calculator Works
Four calculations, all shown. The same maths our team runs with customers, cut from 75 questions to ten.
01
Capacity
Each analyst has 1,400 productive hours a year, run at 80% target utilisation. Alerts multiplied by minutes per alert tells the model how many analysts the queue needs today, and how many hires that becomes as volume grows 20% a year.
02
Improvement curve
Simbian starts by investigating 70% of alerts to a verdict and reaches 85% as it learns your environment. Analyst context notes shorten that curve: at 10 notes a week the model reaches 90% of the ceiling in 3.5 months instead of 6.9.
03
Residual work
Verdicts arrive with their evidence, so review time per alert is 50% shorter, and 10% of investigated alerts still get a human QA pass. 95% of the responses we propose are approved by the customer's own analysts. Their call, not ours.
04
Payback
Hires land in the month the queue needs them. Simbian bills annually in advance. Payback is the first month cumulative net value turns positive, which is why it lands after the first payment and never in month one.
Every Default Behind the Result
Skim the strip. Send us your own readings and we replace them.
Your Simbian case
Have Us Build the Case With You
The calculator runs on defaults. Your environment does not. Send us your numbers and our team replaces the assumptions with readings from your own stack, then walks your sponsor through what the result rests on.
- Your inputs, your stack, your alert mix
- Assumptions replaced with measured values
- A written case sized for your sponsor
- A working session with the team that built the model
In production across 300+ enterprise environments.
Talk to an AI SecOps Expert
Tell us where to send the case. We will bring the model.
