Milliman CRisALIS
Cyber risk is complex and dynamic
Predict to prevent
CRisALIS for anti-money laundering
CRisALIS for climate
Cyber risk modeling for the real world
Get actionable insights
Speed time to results
Communicate effectively
Stay ahead of risk
CRisALIS key features

Intelligent data selection

Holistic view

Support for key processes

Clarity about how uncertainty drives risk

Climate change risk stress and scenario testing
Stress and scenario testing is a common challenge for insurers as they embed risks related to climate change within their risk management frameworks.

Causal modelling: A possible application considering climate risk and asset returns
We illustrate a modeling approach that serves as a useful tool to explore the potential impacts of climate risk on future asset returns.

Assessing and quantifying cyber risk
As cyber attacks occur with increasing severity and frequency, cyber risk has moved to the top of many organizations’ critical risk lists. Organizations are exploring new methods and actionable steps to assess and quantify cyber exposure.

Four critical questions insurers must address before writing cyber
The cyber insurance market is creating both challenges and opportunities for risk managers and insurers. Here are four critical questions all insurers must answer before offering cyber coverage.

Translating cyber threats: How to communicate cyber risk in the boardroom
There is a significant need in the market to transform cyber assessments, information technology metrics, and information security into the common language of risk management.
Services related to Complex Risk Analysis
Milliman Complex Risk Analysis resources
Cyber
Cyber is an adversarial risk – someone is trying to outthink you.
TPRM/Vendor
Assessments and risk registers are inadequate.
Conduct
FI’s struggle with defining conduct, let alone measuring it.
Non-financial Risk/Operational
Standard approaches are lacking for modeling complexity.