Cyber risk, measured in money, probability, and control ROI.
Risqua AI helps security and risk leaders convert cyber scenarios into defensible financial exposure, treatment economics, and board-ready evidence. The app does not store your risk assessment information after the session is closed.
Replace cyber heat maps with financial decisions.
Executives need to know which risks are material, what loss range is plausible, and which investments reduce exposure. Risqua structures that conversation in business terms.
Financial exposure
Model probable annual loss, tail loss, scenario materiality, and uncertainty ranges for the cyber events that matter.
Treatment ROI
Compare current risk, residual risk, control cost, and expected risk reduction before allocating budget.
Board evidence
Export clear assumptions, loss ranges, and decision narratives for governance, audit, and regulatory conversations.
A practical path from risk register to decision.
Risqua is designed to sit alongside GRC tools and risk workshops. It adds quantified economics where qualitative registers stop.
Frame the scenario
Define the threat event, affected assets, business impact categories, and materiality context.
Estimate uncertainty
Use ranges and Quant Risk Management thinking instead of false precision or subjective red-amber-green scoring.
Simulate outcomes
Run Monte Carlo analysis and compare expected loss, tail loss, and treatment economics.
Report the decision
Create board-ready summaries that show exposure, assumptions, and recommended treatment action.
Built for regulated cyber risk conversations.
Risqua helps teams explain cyber exposure, resilience priorities, and materiality in a format leadership can govern and auditors can inspect.
Give the board a risk number they can use.
Try CyberLab for quantified risk assessment, or book a call to map Risqua to your cyber risk workflow.