CyberCube, which provides cyber risk analysis software, believes AI is empowering threat actors to pinpoint cyber security vulnerabilities more effectively and to attack them at scale, at pace and in a more coordinated fashion. The firm published its views in its market briefing, AI Risk Landscape: Implications for Cyber Re/insurance.

William Altman, director of cyber threat intelligence services at CyberCube authored the report. He said: “AI is compressing the cyberattack lifecycle, reducing the time threat actors spend between initial compromise and operational disruption and in some cases enabling impact to occur before detection and containment are effective.”

He said this was putting a greater focus on the ability of businesses to recover from an attack, rather than on their ability to prevent an attack, when it came to evaluating the potential severity of business interruption losses.

Altman added: “As AI becomes more deeply embedded in critical business operations and increasingly concentrated across compute infrastructure, hyperscale cloud platforms and foundation model providers, the potential for portfolio aggregation risk may rise. This reflects the tightly coupled nature of the AI supply chain, where dependencies on a small number of dominant providers create shared points of exposure across insureds. This increases the likelihood of correlated losses rather than isolated events, particularly as AI systems take on greater roles in automation, decision-making, and operational control.”