Introduction Insurance can transfer a risk only when that risk can be described, bounded, and evidenced. Many AI systems in production fail this test. They change after the contract is signed. Their failures are often distributed across a model provider, an integrator, a prompt, a knowledge base, and a human workflow. The resulting loss may […]
Introduction For several years, losses linked to AI systems have been absorbed by enterprise policies that were neither designed nor priced for that exposure. The mechanism is not new. It reproduces, in another technological cycle, what the market already observed with Silent Cyber. Silent AI names that situation: a generative or agentic risk that sits
By Frédéric Dumollard, former field inspector, then general agent and insurance broker. After years spent at the heart of underwriting corporate liability risks, he is now co-founder of NeoMundi and brings his expert perspective on the new insurance challenges posed by generative AI. DOI: 10.5281/zenodo.21222308 Why a former underwriter is taking up this subject I
