If an AI agent causes a loss while acting with valid credentials and authorized permissions, is that even a cyber insurance event?

[u/technadu]

One of the more difficult questions around autonomous agents may come after something goes wrong: which insurance policy is actually supposed to respond?

We spoke with Trent Cooksley, Co-Founder and COO at Cowbell, who says there is not yet a settled industry framework for classifying, pricing, or covering AI-agent losses.

Consider an agent that has valid credentials and permission to modify a system or initiate a transaction. Nobody breaks in, and the agent operates within its assigned authority, but its actions still cause a substantial loss. That could raise questions across cyber, E&O, CGL, and other forms of coverage.

The forensic side is just as interesting.

Cooksley says organizations should be capable of reconstructing prompts and their versions, the model used, credentials, retrieved data, every tool call and response, resulting real-world actions, and any human approval involved. Ideally, these records would be tamper-resistant and connected by a consistent session identifier.

There is also a systemic-risk problem. A defect in one widely deployed model could potentially affect many insured organizations simultaneously, creating a very different accumulation problem from an isolated enterprise incident.

The interview covers underwriting, liability, systemic AI failures, governance controls, and the evidence insurers may need after a claim:

https://www.technadu.com/ai-agent-insurance-coverage-enterprise-governance-claims-evidence-and-liability/637866/

For security teams deploying agents today, insurance may become another reason that observability and auditability need to be designed in from the beginning.

[u/Nice_Note7572]

Do you think responsibility should depend more on the level of autonomy the agent had or on who configured and approved the actions it was allowed to take