European AI agent insurance market tracker: June 2026

The European AI agent insurance market is in an early formation stage. A small set of carriers have launched products. A larger set are monitoring market development. And a very large set of enterprises deploying AI agents are operating without specific coverage, often unaware that their existing policies likely exclude AI-specific failures. This tracker documents the current state of the market: who is writing coverage, what they cover, what they exclude, what governance documentation they require, and what the market is expected to look like by December 2026 as the EU AI Act and the revised Product Liability Directive both take effect.

Market status overview

The AI agent insurance market in Europe as of June 2026 is characterised by constrained supply meeting emerging demand. The supply constraint is not primarily capital: the global reinsurance market has substantial capacity for new lines given current pricing conditions. The constraint is underwriting data. Carriers cannot price AI agent risk accurately without claims experience, and claims experience is sparse because the market is new and most deployments are recent. The result is a cautious market where available products either use parametric trigger structures (Munich Re aiSure) to avoid severity uncertainty, require extensive governance documentation to reduce frequency uncertainty, or apply conservative exclusions to limit exposure to the most uncertain scenarios.

The demand signal is real and increasing. EIOPA's February 2026 survey of European insurance undertakings found that 73% of respondents identified AI governance as a material operational risk concern, up from 51% in the equivalent 2024 survey. Enterprise risk managers are increasingly asking their brokers about AI-specific coverage, and the broker community is beginning to develop specialised AI placement practices. The gap between demand and available products is a market opportunity that several of the carriers below are positioned to capture.

Carrier-by-carrier status: June 2026

Munich Re aiSure

Munich Re's aiSure product, operated through its Special Enterprise Risks (SER) division, is the most developed standalone AI insurance product available to European enterprises. The product uses a parametric trigger structure: coverage attaches when an AI system's performance falls below a predefined specification threshold, rather than requiring the insured to prove a causal chain from AI failure to third-party harm. This structure makes the product significantly easier to structure and claim than traditional liability coverage, but it places the performance specification burden on the enterprise at the time of policy placement.

The February 2026 Munich Re Mosaic partnership provided up to EUR 15 million in coverage for AI developers in a single programme, demonstrating Munich Re's willingness to write meaningful capacity at the product level. For European enterprises, aiSure is available through Munich Re's SER division and through selected brokers with Munich Re delegated authority. Coverage capacity for a single enterprise programme is reported to be in the range of EUR 5-25 million depending on governance documentation quality and deployment scope.

Documentation requirements for aiSure include: performance specifications for the covered AI system against which parametric triggers are calibrated; governance documentation demonstrating the system was assessed before deployment; and ongoing performance data reporting during the policy period that enables Munich Re to monitor whether trigger thresholds are being approached.

Armilla AI

Armilla raised $25 million in January 2026 and has extended its coverage scope to include EU AI Act regulatory violations as a covered event. The extension is directly relevant to European enterprises facing enforcement risk under Regulation (EU) 2024/1689. Armilla operates as a Lloyd's coverholder, with capacity backed by Chaucer and Axis Capital syndicates. The Trustible partnership, announced in 2025, gives Armilla access to AI governance platform data that informs underwriting for North American enterprises; a comparable European governance data pipeline is not yet operational as of June 2026.

Armilla's coverage includes third-party errors and omissions liability for AI-generated outputs, regulatory investigation costs for AI Act enforcement actions, and defence costs. Coverage limits reported in public materials reach into the EUR 20 million range for single-enterprise programmes, though limits for smaller enterprises are typically in the EUR 1-5 million range.

Armilla's governance documentation requirements are among the most demanding in the market. The AIUC-1 standard forms the baseline for their underwriting assessment. Enterprises without documented governance programmes typically cannot obtain coverage or obtain it only with significant exclusions. Armilla's European market access has been expanding through 2026 and the company is actively seeking European AI governance partners to fill the role that Trustible plays in their North American programme.

Counterpart

Counterpart offers affirmative AI coverage endorsements that can be added to management liability and directors-and-officers liability programmes. These endorsements are the most accessible entry point for enterprises that do not yet have the governance documentation required by Munich Re or Armilla. The endorsements affirm coverage for specific AI-related scenarios that traditional management liability policies may exclude, including coverage for shareholder or derivative actions arising from AI deployment decisions and regulatory investigation costs for AI governance failures.

Counterpart's endorsements are not standalone AI agent insurance. They address the management liability layer of AI risk rather than the third-party product liability or errors and omissions layer. For enterprises with significant AI deployments, Counterpart coverage is a complement to rather than a substitute for standalone AI product coverage.

Lloyd's syndicates (bespoke)

Several Lloyd's syndicates are writing bespoke AI liability coverage for larger enterprise programmes, typically with minimum premium thresholds above EUR 100,000. These programmes are structured individually and are not publicly documented in product format. They draw on Lloyd's market capacity and the Lloyd's market's historical expertise in writing novel risk lines. The AIUC-1 standard developed by the AI Underwriting Consortium provides a common framework that multiple syndicates reference in their governance assessment processes.

ElevenLabs in 2025 became the first company reported to obtain AI agent-specific insurance structured under the AIUC-1 framework, which established the first public reference point for the scope and structure of these bespoke programmes. Access to bespoke Lloyd's AI programmes requires a specialist broker with Lloyd's market relationships and experience in AI risk placement.

SCOR and Swiss Re: reinsurance market development

SCOR and Swiss Re are not writing primary AI agent insurance for European enterprises but both are active in the reinsurance layer. Swiss Re published its AI risk research framework in 2025 and is actively developing AI underwriting standards for its client cedants. SCOR's active Life and Health division has AI-specific exposure through medical underwriting automation and is monitoring the European market closely. The engagement of both major reinsurers in active market research signals that capacity will be available to support primary carrier product launches when those carriers are ready to move.

The coverage gap: what existing policies typically exclude

The most important market intelligence for most enterprises is not what AI-specific products are available, but what their existing policies already exclude. Three existing lines are most commonly affected.

Errors and omissions (professional indemnity). Many E&O policies written before 2023 contain AI exclusion endorsements added by carriers responding to the rapid expansion of AI deployments. These endorsements typically exclude coverage for any loss arising from the use of AI-generated content or AI-assisted professional services. Where such endorsements exist, they need to be removed or replaced with affirmative AI coverage language before an AI agent incident will be covered.

Cyber liability. Standard cyber policies cover data breaches, ransomware, and network security failures. They do not typically cover AI-specific performance failures that cause financial harm to third parties without involving a data breach. An AI agent that gives incorrect financial advice, approves an ineligible transaction, or discriminates against a protected class in an automated decision produces a loss scenario that cyber coverage is not designed to reach.

Product liability. Product liability policies are being restructured following Directive 2024/2853 (the revised Product Liability Directive, applicable from December 2026), which reclassifies software including AI as a product for strict liability purposes. Policies written under the previous product liability regime may not cover AI software as a product. Post-December 2026, product liability will be a more relevant coverage line for AI deployments, but the transition period and the policy review it requires are a practical compliance task for enterprise risk managers.

For the full analysis of exclusions in cyber and E&O policies as applied to AI agents, see the dedicated article on AI exclusions in cyber and E&O policies on this site. For the regulatory liability framework underlying the coverage demand, see the EU AI Act Article 26 deployer obligations guide.

What to expect in H2 2026

The second half of 2026 is the market inflection period for European AI agent insurance. Two regulatory events are concentrating demand: the August 2026 EU AI Act enforcement date (subject to the Digital Omnibus delay proposal's outcome) and the December 2026 entry into force of Directive 2024/2853.

If the Digital Omnibus delay does not pass, August 2026 brings full enforcement of high-risk AI obligations under Articles 9-17 and 26 of Regulation 2024/1689, with penalties up to EUR 15 million or 3% of global turnover for non-compliance. Enterprise risk managers who have not yet addressed AI liability will be compelled to do so by Q3 2026 compliance deadlines. This is a demand shock for which the market is not yet prepared.

If the Digital Omnibus delay does pass, enforcement of certain high-risk AI provisions moves to December 2027. However, Article 5 prohibitions, Article 50 transparency requirements, GPAI obligations, and the Product Liability Directive December 2026 deadline are unaffected. The delay extends the compliance runway but does not eliminate the regulatory liability driver for insurance demand.

In either scenario, carriers are expected to tighten governance requirements through H2 2026. Policies binding after August 2026 are likely to include warranty conditions requiring that insured high-risk AI systems meet applicable regulatory obligations. Enterprises that have documented compliance before that date will be better positioned to obtain affirmative coverage for regulatory liability scenarios without those warranty conditions becoming coverage exclusions.

For enterprises seeking to build the certification evidence that supports both compliance and insurance eligibility, the Agent Certified assessment intake at agentcertified.eu is the starting point. Certification evidence produced before H2 2026 will be most useful for the policy renewals and new placements that enterprises will be pursuing in that period.

Premium benchmarks

Public premium data for AI agent insurance is sparse because most policies are placed through negotiated bespoke programmes rather than standardised product lines. The following benchmarks are derived from disclosed programme details and broker market intelligence as of Q2 2026. They should be treated as indicative rather than definitive.

The governance documentation premium differential, estimated at 30-70% between well-documented and undocumented enterprises for equivalent coverage scope, is the most important financial signal in the current market. It means that investment in AI governance documentation does not just reduce regulatory risk. It has a direct and measurable return in insurance cost reduction at the first renewal following documentation improvement.