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Complex Risk

Milliman Complex Risk Analysis (CRisALIS)

Challenge–Cyber Use Case

Cyber risk is complex and dynamic

Solution

Predict to prevent

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CRisALIS for anti-money laundering

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CRisALIS for climate

Benefits–Cyber Use Case

Cyber risk modeling for the real world

Get actionable insights

Speed time to results

Communicate effectively

Stay ahead of risk

FEATURES

CRisALIS key features

Intelligent data selection

Holistic view

Support for key processes

Clarity about how uncertainty drives risk

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Article

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.

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Article

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.

White Paper

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.

Article

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.

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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.

RELATED SERVICES

Services related to Complex Risk Analysis

Resources

Milliman Complex Risk Analysis resources

Use case

Cyber

Cyber is an adversarial risk – someone is trying to outthink you.

Use case

TPRM/Vendor

Assessments and risk registers are inadequate.

Use case

Conduct

FI’s struggle with defining conduct, let alone measuring it.

Use case

Non-financial Risk/Operational

Standard approaches are lacking for modeling complexity.

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