Bayesian Networks
We model risk networks in which factors influence one another, enabling us to update the probability of a risk as new information becomes available.
We model risk networks in which factors influence one another — for example, how a cybersecurity incident can increase both reputational and regulatory risk simultaneously — enabling us to update the probability of a risk as new information becomes available, rather than treating each risk in isolation.
Risk management only creates value when it supports decision-making, prioritisation and accountability.
The deliverables are designed for practical use, not just for filing.
A 30-minute conversation to assess priorities and draw up a practical plan — together.
Frequently Asked Questions
To model how risks influence one another and update the probability of each as new information becomes available — particularly useful when the risks in the dataset are not independent of one another.
We work in stages: initial assessment, setting priorities, practical implementation and ongoing monitoring with clear indicators of progress.
Timeframes vary depending on the size and maturity of the organisation, but the initial assessment usually takes 2 to 4 weeks before we move on to implementation.
Let’s assess your priorities and draw up a practical plan — together.
