The first question in every agent conversation I’ve been part of is who pays when it breaks.

And most discussion of AI risk stops at hallucination. So glad to see someone is building the answer.

@harborai_ , a startup founded by 4 Stanford graduates, has raised a $10M seed round to insure companies against failures by their AI agents.

Harbor’s policy lists 6 named perils: hallucinations, action errors, bias and discrimination, contract and SLA failure, data leakage, and IP infringement and defamation.

When one of those failures hits, the policy pays out across third-party liability, first-party operational loss and regulatory defense, with incident response and pre-claim mitigation included.