SIEGE pays for itself two ways: the breach losses you avoid by proving (and closing) real attack paths, and the wasted security spend you recapture. Move the inputs to model your first year.
Probability-weighted cost of a successful breach in a year: downtime, recovery, regulatory fines, and brand damage.
Mid-market average runs $5M–$25M; regulated enterprises far higher.
The share of that exposure SIEGE eliminates by continuously surfacing and validating the attack paths your tools miss.
The slice of your security budget tied to manual pen tests, red teams, point tools, and audit prep that SIEGE can validate, consolidate, or replace.
Rule of thumb: the labor + tooling around testing & assurance.
How much of that addressable spend you actually claw back by replacing periodic testing with continuous, automated validation.
Total first-year outlay: deployment, integration, and the engagement tier. Quick-set to a SIEGE tier:
Pick your industry and role on the left and this becomes a read on your specific exposure, the attack path your sector gets breached through, how peers benchmark, and the numbers behind it.
Modeled estimate based on general benchmarks, not an audited projection. Your actual results depend on your environment.
Conservative to expected case, on a $180K investment.
Even at half these assumptions, this pays back in 1 mo with $1.72M net value.
Benchmarks anchored to IBM Cost of a Data Breach 2025 and SIEGE engagement data. Every input above stays editable, this is your model, not ours.
This estimate uses generalized assumptions. Your real number depends on environment complexity, control coverage, and how fast findings get remediated.
In a scoping session, our team runs this model against your actual attack surface, current tooling, and assurance spend, and delivers a board-ready exposure-and-ROI projection.
You just used the SIEGE ROI Calculator. Complete the full survey and we will build this projection from your real numbers, not benchmarks.