Chaucer Group and Armilla AI have launched Vanguard AI, a coordinated insurance solution designed to address cyber, technology, and AI-related liability within a single framework
The product combines Chaucer's primary cyber and technology errors and omissions coverage with Armilla's standalone AI liability insurance. Under the structure, predefined allocation rules define how coverage responds when losses involve cyber incidents, technology services failures, and AI system behavior.
Chaucer's cyber and technology E&O coverage serves as the primary response for breach-driven cyber loss, business interruption, ransomware events, system outages, and technology services liability.
AI-specific liability is handled through a separate policy underwritten by Armilla and backed by Lloyd's of London, with dedicated AI aggregate limits of $25 million or more per organization available alongside $10 million in cyber limits.
Mounting evidence suggests traditional policies are ill-equipped to handle losses driven by artificial intelligence systems.
In September 2023, iTutorGroup paid $365,000 to settle the first-ever EEOC AI discrimination lawsuit after its recruitment software automatically rejected female applicants over age 55 and male applicants over 60, the agency said. More than 200 qualified candidates were screened out based solely on their age.
A potentially far larger case involves Workday, where a Northern District of California court conditionally certified an age discrimination class action that could include millions of job applicants. The HR management services company represented that 1.1 billion applications were rejected using its software tools during the relevant period, court filings show.
In the medical space, liability experts warn that AI diagnostic systems have shown misdiagnosis rates exceeding 80% in some pediatric studies, creating exposure for both healthcare professionals and AI developers when complications arise.
Recent research from Princeton University and the Sentient Foundation found that AI agents could be vulnerable to memory attacks that trick them into making unauthorized cryptocurrency transfers, while payment industry experts caution that traditional card dispute rules do not account for AI-initiated purchases that technically follow authorization procedures but defy user intent.
A recent report from Lockton Re and Armilla warned that AI risks sit outside traditional insurance frameworks, with coverage gaps widening as the technology develops faster than underwriting models can adapt.
Oliver Brew, head of cyber centre of excellence at Lockton Re, emphasized that the probabilistic nature of AI and its ability to synthesize massive amounts of data mean it is prone to errors with huge implications wherever implemented.
Baiju Devani, CTO and co-founder at Armilla AI, noted there is a growing gap between what insurers intend to cover and what they actually cover. "The challenge for the insurance industry is not whether AI will create systemic risk events, but when, and if underwriting practices can keep pace," Devani said.
Piers Tuggey, head of cyber at Chaucer, said the partnership aims to manage emerging exposures without distorting existing coverage lines. "As AI adoption accelerates, the challenge for insurers is managing the impact of emerging exposures, ensuring they do not distort coverage lines they were never designed or priced to absorb," Tuggey said.
Karthik Ramakrishnan, CEO and co-founder of Armilla AI, said AI liability is shifting from an implicit exposure within cyber and technology policies to a risk requiring dedicated coverage, adding that the coordinated structure allows enterprises to deploy AI with the assurance that cyber, technology, and AI risks are addressed transparently.
