Outlook On AI-Driven Systemic Risks and Opportunities
This report discusses how generative artificial intelligence (Gen AI) exacerbates the risk of cyber-attacks while also providing mechanisms to detect and fend off such attacks.
We are pleased to share our latest cyber research study, Outlook On AI-Driven Systemic Risks and Opportunities. This report is the result of joint research between Guy Carpenter’s Cyber Center of Excellence and CyberCube, a leading provider of cyber risk analytics. It discusses how generative artificial intelligence (Gen AI) exacerbates the risk of cyber-attacks while also providing mechanisms to detect and fend off such attacks. The report focuses on the evolving technical and analytical aspects of AI impacts.
Key takeaways:
- Gen AI’s integration across all industries marks a transformational shift in the current and future landscape of cyber threats, which also creates a unique growth opportunity for the (re)insurance industry.
- Frameworks for assessing systemic cyber risks must be refined, since traditional models built on retrospective data may no longer suffice in a world where AI-driven attacks can evolve and scale at unprecedented rates.
- As Gen AI advancements increasingly influence the cyber threat landscape, Guy Carpenter and CyberCube have worked to understand and map these advancements to modules within CyberCube's catastrophic event model, detailing how model components may change as future advancements are implemented. Developing an analytical pathway toward quantifying AI’s financial implications is key in helping (re)insurers prepare for a future in which AI technology becomes even more prevalent.
- While AI can be leveraged by both attackers and defenders, we will likely see a larger difference between companies that employ defensive AI technology and those that do not. AI’s high dependency on the training data available tends to favor defenders and vendors, as they have access to world-leading AI technology and data from within their users’ systems.
