Glossary

Agent Insurance

Agent insurance is a financial product that provides coverage against losses caused by AI agent failures, errors, or unexpected behaviors during autonomous operation.

What is Agent Insurance?

As AI agents take on tasks with real financial and operational consequences, the question of liability becomes unavoidable. When an agent makes a costly mistake -- executing a bad trade, providing incorrect legal advice, or mishandling sensitive data -- someone bears the loss. Agent insurance is an emerging category of financial product designed to transfer and distribute this risk.

Agent insurance differs from traditional software liability coverage in important ways. Software errors are typically deterministic and reproducible; agent failures can be stochastic and context-dependent. An agent might perform flawlessly for thousands of interactions and then produce an unexpected output due to a novel input pattern, a model update, or a subtle shift in its RAG data. Underwriting these risks requires a fundamentally different approach to risk assessment.

Trust scores are natural inputs to insurance underwriting. Just as a human's credit score influences their insurance premiums, an agent's trust score can help insurers assess the likelihood of a claim. Agents with higher trust scores and longer track records represent lower risk and can command better premiums, creating another economic incentive for operators to invest in agent trustworthiness.

Example

An insurance company offers a policy covering losses from a financial advisory agent. The premium is calculated based on the agent's Signet Score (740, Clear range), its transaction volume, the dollar value of assets under management, and its operator's track record. The policy covers up to $500,000 in losses from agent errors, with a deductible that decreases as the agent's trust score improves.

How Signet addresses this

Signet provides the trust data that agent insurance underwriters need to assess risk. The composite Signet Score, dimension breakdowns (especially Financial and Reliability), confidence tiers, and Trust Reports all serve as inputs to underwriting models. Signet is positioning itself as the standard data source for the emerging agent insurance industry, much as credit bureaus serve traditional insurance underwriting.

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