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Manage complex risks using data-driven insights, advanced approaches, and deep industry experience.
Risk technology plays a major role
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Data-driven insight. Deep expertise. Transformative innovation. Since 1947, Milliman has delivered intelligent solutions to improve health and financial security.
Risk is complex and difficult to predict. Make the right strategic decisions and investments to protect your business with Milliman CRisALIS, providing tailored data selection, advanced modeling, a robust dashboard, and AI that predicts how risks will change over time.
The interconnectedness of people and systems makes cyber risk challenging to predict and manage. Attackers constantly evolve their methods in an attempt to outthink your defenses. The potential for insider threats and errors adds to the uncertainty. Traditional risk quantification approaches such as assessments, loss distribution analysis, scenario analysis, and frequency/severity modeling don’t solve the business problem on their own.
Milliman’s Complex Risk Analysis is a next-generation cyber risk solution that incorporates a forward-looking approach to modeling how cyber risks occur and propagate. It provides organizational decision makers and risk managers with a more accurate understanding of current vulnerabilities—as well as actionable recommendations for mitigation decisions and sophisticated predictions about potential future losses. Using the power of AI, Milliman’s solution helps identify emerging threat vectors before they cause damage to your organization.
If you run an anti-money laundering program, you know how challenging it is to stay a step ahead of sophisticated criminal activity.
Climate change is changing everything. Get the insights you need to mitigate risk effectively, invest wisely, and protect the future of your business.
Cyber risk is an ever-shifting landscape. Get the insights you need to mitigate risk effectively, invest wisely, and protect the future of your business.
With complex supply chains and growing amounts of data, it’s harder than ever to effectively monitor and mitigate third-party risk.
Understand where threats are most likely to emerge so you can take the right actions to mitigate risk and reduce financial impact. Milliman Complex Risk Analysis ties cyber risk directly back to your balance sheet and forecasts, and helps you model the effect of various actions.
Milliman Complex Risk Analysis includes an efficient and thorough initial analysis to develop your custom Cyber Risk Profile, including an expert elicitation and validation process, causal model development and calibration, and dashboard creation.
Translate cyber security information into the language of boards, business decision makers, and managers so they can make the right decisions with confidence. Easy-to-understand dashboards drive decision making across the organization. Analyze risk by geography and business unit as well as enterprise wide, supporting targeted action.
AI examines unstructured external data such as news and social media to determine how threats are changing their methods so you can strengthen your defenses before you become a victim. It can also analyze internal unstructured data to identify problematic behaviors.
The solution leverages both qualitative and quantitative data to enhance the credibility of the model and adapts to new information as it becomes available. We identify the most meaningful data for your organization, separating signal from noise whether that means augmenting, narrowing, or cleansing what you already have.
Variables are considered in relationship to one another, rather than in isolation, providing a more realistic view of the complex nature of cyber risk and the ability to bring unforeseen consequences to light.
The insights delivered by Milliman’s solution help simplify CVA analysis and strategic planning. Interactive dashboards enable “what-if” scenario exploration to drive effective risk management.
We quantify the degree of certainty embodied in various assumptions. These effects are clearly shown in an intuitive user interface, enabling deeper understanding of risk.
Stress and scenario testing is a common challenge for insurers as they embed risks related to climate change within their risk management frameworks.
We illustrate a modeling approach that serves as a useful tool to explore the potential impacts of climate risk on future asset returns.
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…
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.
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.
Succeed with purchase and divestment of healthcare and insurance assets, whether a single line of business or an entire company.
Assess capital requirements under a wide range of frameworks and get effective strategic advice on how to manage capital.
Lower loss and loss adjustment expense costs, get litigation support, and improve claims operations.
Embed ERM best practices into your organization to create a structured and sustainable business management process.
Create an effective corporate risk framework to align across business units and mitigating cross-functional risks.
Cyber is an adversarial risk – someone is trying to outthink you.
Assessments and risk registers are inadequate.
FI’s struggle with defining conduct, let alone measuring it.
Standard approaches are lacking for modeling complexity.