Remediation controls
0 / 5
Modelled annual loss avoided
$0
Toggle controls to model the reduction in expected loss.
Residual loss profile · 5M-trial engine (live taste: 8k)
Loss attribution by risk
vs. current (dashed)
Infrastructure posture
as scanned
8
Critical
31
High
96
Medium
Risk register heatmap
Low likelihoodHigh likelihood
Figures are illustrative for a model client (Australia-based startup, cloud-native, <AUD 1M revenue, <20 staff) and benchmarked to the ASD ACSC Annual Cyber Threat Report 2024–25. Loss tolerances are set by Secure Measure and validated with the client in a live engagement. Control effectiveness for an early-stage startup assumed at 25–40%.
This is a taste. Your console runs on your data.
A fixed-price, time-boxed DSO engagement delivers your threat model, risk register and live quantsRisk model in 2–3 months.