As organizations embed artificial intelligence more deeply into everyday operations, cybersecurity, and decision-making, they are also confronting a more complex cyber-risk environment. While it is not creating an entirely new category of risk, AI is amplifying existing threats, increasing the speed, scale, and sophistication of attacks such as social engineering, fraud, and malware deployment.
In order to mitigate AI-related risks, organizations should consider taking action to strengthen governance, improve visibility into how AI is being used across the business, and revisit whether existing cybersecurity controls remain fit for purpose.
Further, it is also critical to take inventory of AI tools, manage non-human identities, prepare incident response plans for AI-related scenarios, and address growing dependence on third-party AI providers.
In this episode of Risk in Context, Susan Young, Marsh’s Cyber Strategy and Growth Leader in the US and Canada, speaks with Jim Aldridge, Cybersecurity Advisor within Marsh’s US and Canada Cyber Practice, and Sjaak Schouteren, Cyber Growth Leader for Europe, about the evolving AI risk landscape. They discuss organizational preparedness, the importance of evolving cybersecurity controls to align with the changing risk landscape, how insurers are evaluating AI use and governance, what Marsh data is showing about organizational preparedness, and share information that risk managers and CISOs should consider to protect their organizations in this fast-evolving risk reality.