• Designed for agentic AI, the policy addresses a business’s own covered losses and third-party claims through a specific “AI Incident” coverage trigger.
• Underwriting incorporates three AI-specific Cowbell Factors™ assessing AI observability, autonomy, and governance, alongside other risk signals.
• Coverage extends beyond incident response and liability to runaway AI usage costs, LLMjacking, and algorithmic discrimination claims.

PLEASANTON, Calif., November 10, 2026 — Cowbell, a leading provider of AI-native cyber and specialty insurance for small and medium-sized enterprises (SMEs), today announced Cowbell AI Liability Insurance, a standalone policy for U.S. businesses deploying AI agents that act on their behalf across customer service, payments, and core operations. Available beginning January 1, 2027, the policy is built around a specific “AI Incident” coverage trigger, combining protection for a business’s own covered losses with liability coverage for resulting claims.

As AI moves from generating answers to taking action on its own, humans are often no longer in the decision-making chain. When an AI agent goes rogue, businesses face financial consequences, from misdirected payments and deleted records to customer claims. Cowbell AI Liability Insurance addresses the costs of responding to covered incidents, restoring operations, and handling resulting claims.

“SMEs are giving AI greater responsibility for how their businesses operate,” said Trent Cooksley, Co-founder and Chief Operating Officer of Cowbell. “The financial consequences can reach across the business, from money lost in a transaction to interrupted operations and customer claims. We designed Cowbell AI Liability Insurance to help businesses manage those risks as they put AI to work.”

Cowbell assesses AI liability exposures using three AI-specific Cowbell Factors™, alongside other underwriting information. These Factors evaluate AI observability, autonomy, and governance, helping underwriters understand how a business monitors its AI tools, what authority those tools have to act, and the controls governing their use. 

From Incident Response to Third-Party Claims

Cowbell AI Liability Insurance is built around an AI-specific coverage trigger: an “AI Incident.” This includes events in which an AI tool exceeds its authorized scope, acts without required approval, exposes data without authorization, produces inaccurate or unsafe outputs, or fails to operate within established controls.

An AI Incident can also involve adversarial manipulation, unstable behavior, model drift, or algorithmic discrimination. For example, an AI agent could be manipulated into issuing fraudulent payments, enter an uncontrolled loop that generates unauthorized usage charges, or make discriminatory decisions without human involvement.

The policy is designed to address the financial, operational, and legal consequences of an AI Incident. Coverage may include, but is not limited to: 

• AI Incident Response – Cost of investigating an AI Incident, containing its effects, isolating the affected AI tool, and preserving evidence
• Output Correction – Cost of correcting or withdrawing inaccurate or unsafe AI output and notifying recipients
• Direct Transaction Loss – Unrecovered funds lost through manipulation, unapproved actions, or control failures
• Runaway Cost – Unauthorized AI usage charges from looping, escalating tasks, or failures to enforce spending limits 
• LLMjacking – AI usage charges incurred when unauthorized third parties use stolen credentials or API keys

Third-party coverage may respond to claims made against an insured as a result of an AI Incident. This coverage may include defense costs and covered damages or settlements for claims alleging algorithmic discrimination, copyright or trademark infringement, bodily injury, or property damage resulting from reliance on AI output or an autonomous digital action. Coverage may also extend to regulatory proceedings and, where permitted by law, certain fines, penalties, consumer redress, and punitive damages. 

“AI liability is no longer only about people using AI. It’s about AI agents acting on their own, with no human in the decision-making chain,” said Simon Hughes, Chief Commercial Officer of Cowbell. “When an agent goes rogue, a business can face its own losses and claims from customers and others at the same time. We designed Cowbell AI Liability Insurance for that agentic reality, giving brokers a concrete solution for their clients.”

Illustrative Claims Scenarios

• Payments without human approval: An AI accounts payable agent misinterprets approval statuses and releases payments—including duplicate payments and payments for canceled orders—without human sign-off. The supplier subsequently enters liquidation, leaving some funds unrecovered.
• Runaway quoting and unchecked spending: An AI quoting agent enters a loop, repeatedly launching additional agents and sending customers incorrect quotes. Ineffective spending controls allow usage charges to accumulate, and the business suspends the system to investigate the issue and restore operations.
• Incorrect tax filings and client claims: An AI bookkeeping agent uses outdated tax rates and files client tax returns without human review. Clients incur penalties and interest, leading to reimbursement demands and lawsuits against the bookkeeping firm.

These scenarios illustrate potential exposures. Whether coverage applies depends on the circumstances and the terms and conditions of the policy.

Availability

Cowbell AI Liability Insurance will be available exclusively through wholesale brokers on a non-admitted basis beginning January 1, 2027. All coverage is subject to the terms, conditions, limits, retentions, and exclusions of the issued policy.

Businesses can access their AI-specific Cowbell Factors by activating Cowbell Connectors for AI tools such as Gemini, Claude, and ChatGPT. To learn more, visit cowbell.insure/AI-liability.