Marsh McLennan announced the launch of its Cyber Risk Analytics Center, a resource that brings together the cyber risk data, analytics and mitigation expertise of its four businesses and other business, government and academic partners.
The cross-enterprise center’s participants— Marsh, Guy Carpenter, Mercer and Oliver Wyman— aim to provide clients with a “comprehensive view of their cyber threats, the maturity and availability of their existing and future controls, and the economic impact of their risk,” according to the announcement.
The center promises to offer clients tools and risk insights that will help them identify, prepare for, and recover from cyber risk at every level.
“Cyberattacks routinely cause millions of dollars in loss to our clients and billions of dollars in loss to the global economy every year. It is no surprise that business, government, and other leaders continue to rank cyber risk as one of the most pervasive and urgent risks for society,” said John Doyle, president and CEO, Marsh, and vice chair, Marsh McLennan. “For many leaders, however, their concern exceeds their ability to measure and manage cyber risk alone.”
Doyle said this investment in the center will help clients by “connecting them with experts and capabilities from across our businesses, data-driven insights, and a global ecosystem of risk and cybersecurity experts.”
In addition to integrating the data, modeling and risk expertise of Marsh, Guy Carpenter and Oliver Wyman, the center will conduct research and development with a global network of commercial, government and academic partners.
The center will operate under the leadership of Managing Director Scott Stransky, a cyber risk and catastrophe modeler, who joined Marsh McLennan earlier this year after more than a decade at AIR Worldwide.
“Through the Cyber Risk Analytics Center, Marsh McLennan will advance the broader cyber modeling and analytics ecosystem to help societies manage cyber risk,” said Stransky.
Source: Marsh McLennan
Topics Cyber New Markets Risk Management
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