Cowbell Launches AI Liability Insurance for Rogue Agent Risks

Cowbell launched a standalone AI liability insurance policy designed to cover certain losses and third-party claims arising when an enterprise AI system or autonomous agent takes a harmful action.

The insurer defines an AI Incident as an AI system producing an unintended output or taking an unintended action. Cowbell said covered scenarios may include misdirected payments, runaway usage costs, LLMjacking and algorithmic discrimination, subject to the policy’s terms and exclusions.

The product addresses a growing gap between conventional cyber coverage and risks created by software that can act on its own. A compromised model may cause a security incident, but an authorized agent can also make an expensive or discriminatory decision without a traditional network breach.

That distinction will put new pressure on underwriting. Insurers and buyers will need evidence about agent permissions, identity controls, audit logs, approval thresholds and rollback mechanisms, not just standard vulnerability and endpoint metrics.

Organizations evaluating the policy should review how it defines an AI system and an unintended action, which first-party costs qualify, and how cyber, errors and omissions, crime and AI-specific coverage interact when one event triggers several policies.