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No single AI threat automatically makes cyber insurance worthless. Whether an AI-related loss is covered depends on the wording of the policy and endorsements, the facts of the incident, and the applicable jurisdiction. The practical risk is a coverage gap: the policy may cover the loss, restrict it, exclude it, or leave its treatment unclear.
Can an AI attack void your cyber insurance?
Not automatically. An attack involving AI does not, by itself, establish that a policy is void or that a claim is excluded. The insurer’s coverage decision turns on the contract’s definitions, coverage grants, exclusions, exceptions or “write-backs,” limits, and the circumstances of the loss.
There are two distinct situations to consider. An organization’s AI system may itself be targeted by hacking or sabotage. Separately, AI may be involved in an incident that causes a loss—for example, in a hypothetical scenario, an AI-enabled service might contribute to a security failure or an operational error. These examples do not determine coverage: the policy language and incident facts do.
The Lloyd’s Market Association (LMA) says AI is recognized as a subset of software under the computer-system definition used in its model cyber clauses. That finding concerns those model clauses, not every insurer’s issued policy. The LMA also cautions that actual coverage depends on the wording used and the circumstances.
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What does “silent AI” mean in an insurance policy?
Aon uses “silent AI” to describe a policy that neither affirmatively covers nor expressly excludes AI. That is a description of an ambiguity category in broker analysis—not evidence that silent wording is common across all policies or that every unclear clause will be interpreted the same way.
Silence about AI does not answer the coverage question on its own. Other terms may still matter, including how the policy defines a computer system, data, or a security failure; whether it grants cyber coverage; and whether an exclusion or an exception narrows that grant. A policyholder needs to read the complete contract rather than rely on whether the word “AI” appears in one section.
How can policies treat AI and cyber losses differently?
The LMA’s indicative categories for potential AI exposure in its model wordings show why “covered” or “excluded” is not always a simple binary. They are not guarantees of a claim outcome and do not describe every policy in force.
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| Cyber treatment in the wording | LMA’s indicative AI-exposure category | What to check |
|---|---|---|
| Cyber risks are fully excluded | Low | Whether the exclusion applies to the event and loss at issue, and whether any other grant or exception is relevant. |
| An exclusion has a write-back, or coverage is affirmed with a limitation | Medium | What the write-back restores, which conditions apply, and whether limits or other restrictions narrow the restored coverage. |
| Coverage is granted without a cyber-specific restriction | High | Whether other policy terms, exclusions, conditions, and limits still affect the particular claim. |
These categories describe the LMA’s model-wording assessment; the labels are not a prediction that a specific claim will be paid or denied. For a real policy, the operative language and the facts control.
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Could another insurance policy respond?
AI-related losses may raise questions under insurance lines beyond cyber. Gallagher’s 2025 cyber insurance market outlook identifies possible exposure involving professional errors and omissions, employment practices, product liability, and medical malpractice. That does not establish that any of those policies will cover a particular loss. More than one contract may need to be examined, and each will have its own terms.
Gallagher reported over 200 actively litigated cases related to artificial intelligence and machine learning as of the writing of its 2025 outlook. This is a report-era count of litigation, not a current 2026 total and not a count of insurance claims.
How can you check whether your cyber policy addresses AI?
- Gather the full contract. Obtain the current declarations, base policy form, and every endorsement. A summary or certificate may not include the wording that controls coverage.
- Find the operative terms. Review definitions and provisions addressing AI, computer systems, data, security failures, cyber coverage, exclusions, write-backs, and limits. Note how the terms interact rather than treating a single mention of AI as decisive.
- Compare renewal wording. Put the current contract beside the expiring one and identify changes to coverage grants, exclusions, exceptions, definitions, and limits. Ask for an explanation of material changes and when they were communicated.
- Use realistic scenarios. Ask how the wording could apply to the organization’s AI systems and plausible incidents, including an attack on an AI system and a loss in which AI use is part of the circumstances. A scenario helps frame the question; it does not guarantee the outcome.
- Request a specific explanation. Ask the broker or coverage counsel to explain how the relevant clauses apply, what facts could change the analysis, and whether other policies should be reviewed. The answer cannot be settled without the actual contract, incident facts, and jurisdiction.
Why clarity matters—and what security can and cannot do
The European Insurance and Occupational Pensions Authority (EIOPA), in supervisory statements published September 22, 2022, emphasized clarity and communication when cyber coverage is reviewed. It stated: “While there may be a limit to insurability, EIOPA is of the view that consumers and small businesses can assess the risks involved better – including those stemming from systemic events – when coverage is clear and aligned to the target market’s needs.” This is European supervisory context, not a ruling on an individual policy or a universal rule for other jurisdictions.
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Outbyte PC Repair FREERepair Windows errors before they cause bigger problemsFix Now →Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →Security measures and insurance answer different questions. The UK government’s AI cyber security work addresses protecting AI systems against threats including hacking and sabotage. Good development and operational security can reduce cyber risk, but it does not establish whether an insurer must cover a particular loss. That remains a contract question.
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Likewise, regulatory activity should not be mistaken for evidence of policy exclusions. The US National Association of Insurance Commissioners reported in March 2026 that 12 participating states were piloting its AI Systems Evaluation Tool to help regulators examine insurers’ AI use, governance, and risk mitigation. The pilot is not a measure of how many policies exclude AI or how many AI claims have been made.
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