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Cyber risk quantification: Connecting risk with strategy

In this video, Marsh shares insights from its client base on cyber risk quantification, and distils them into the three top questions enterprises should consider when aligning cyber risk objectives with corporate strategy.

08/18/2022

Most organizations still lack the ability to effectively measure the financial impact of cyberattacks. A recent Marsh global survey underscored this trend, finding that nearly three-quarters of organizations do not measure enterprise cyber risk in financial terms.

Cyber risk quantification enables organizations to conceptualize cyber risk in the same way as other enterprise risks. In addition to providing organizations with a common language that they can use to express risk, cyber risk quantification also helps bridge cyber risk strategy and enterprise strategy.

In this video, Marsh shares insights from its client base on quantification, and distills them into the top three questions enterprises should consider when aligning cyber risk objectives with corporate strategy. 

Key takeaways

Data-driven strategy

Using financial metrics can help organizations develop a new or different risk strategy to combat rising insurance costs.

Organizational changes

Considering how cyber risk exposures will change given shifts in enterprise strategy allows organizations to look ahead and plan more effectively.

Other lines of coverage

Understanding how other lines of insurance coverage impact cyber coverage enables organizations to drive more value across all lines of coverage.

About our speaker

Allison Pan

Allison (Allie) Pan

Senior Vice President, Emerging Risks, Marsh Advisory

As a Senior Vice President with Marsh Advisory, Allie Pan is responsible for helping clients understand their strategic risks, especially in nascent and complex peril classes such as cyber, climate, violent threats, and supply and value chains. Allie specializes in the ways in which peril classes converge or are interdependent. This enables her clients to assess their risks in gray areas that are difficult to capture in traditional risk analysis.

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