Board-ready financial metrics you can trust. Enterprise-wide. In days.
Most CRQ models start from the bottom - mapping systems, modeling threats, and estimating probabilities. That logic works for IT operations but doesn’t scale to the company-wide view the Board needs.
When leadership needs to know:
… Bottom-up models fall short. They’re too complex, too slow, and too focused on technical detail.
Instead of asking:
“How likely is it that System X will be compromised by Threat Y?”
It asks:
“If this part of our business is hit by a serious cyber event, what’s at stake?”
Top-down starts from how the business creates value and quantifies what’s financially at stake. This allows decision makers to prioritise and justify investments confidently.
Top-down quantification was developed by Munich Re, the world’s largest cyber reinsurer, to price cyber risk across thousands of companies. After more than 4,500 company assessments, the same methodology now powers the Squalify platform.
Get board-ready financial metrics you can trust. Enterprise-wide. In days.
Quantify your financial exposure, align it with your risk appetite and show how specific cybersecurity investments reduce risk over time.
Assess cyber risk globally, across regions and subsidiaries in one platform, with a clear, consolidated view of group-level exposure.
Get company-wide risk insights in days. No asset inventories, threat modelling, or integrations required.
Spend less time collecting data and more time making decisions that hold up in the Boardroom.
Most cyber risk models require exhaustive detail (technical inventories, spreadsheets, threat probabilities) because they build risk from the bottom up.
We do it differently. Our top-down model starts from business impact. That means fewer inputs, no subjective assumptions, and faster results built for executive decisions.
Assess company-wide cyber risk with less than 200 data points.
Why business leaders are moving from technical risk models to board-ready decisions.
Download the FAIR vs. Squalify whitepaper to see where traditional models fall short - and how a top-down approach delivers faster, board-ready results.
