Innovation moves at the speed of technology, but adoption moves at the speed of trust.
At Armilla, we’ve built our company around that simple truth. Trust in AI can’t be declared; it must be earned, measured, and verified. For most organizations operating at AI’s frontier, this is no longer just an ethical imperative but a strategic one—grounded in the understanding that safe, responsible AI and commercial incentive ultimately converge.
From the beginning, our mission has been to make that trust measurable. We were among the first to pioneer the field of AI assurance, developing testing and validation methods that translate leading AI standards and frameworks such as ISO/IEC 42001 and the NIST AI Risk Management Framework into real-world model evaluations. These tools help enterprises move beyond abstract principles to answer concrete questions:
As assurance matured, one truth became clear: measuring trust was only the beginning. To sustain responsible adoption, trust must be reinforced—translated into structures that not only verify system performance but also protect enterprises from liability when AI systems fail. Assurance was the first step; risk transfer and liability protection are the next.
For Armilla, developing tools and methods for AI model evaluation was never the end goal, but the foundation for something broader: pioneering the AI insurance industry. Our aim has always been to transform AI model evaluations, governance, and risk-management practices into quantifiable AI risk data—the technical ground truth that makes insurance markets possible.
Our coverage translates assurance into insurability, turning governance and testing outputs into measurable signals that link responsible development with financial protection. When stronger AI governance leads to lower premiums and easier coverage, responsibility and growth finally align.
This is how a new market takes shape: assurance and insurance become two sides of the same system—one validating trust, the other securing it. As these worlds come together, a new generation of organizations will emerge as co-architects of the insurable AI economy—a shared framework where accountability, innovation, and protection advance in tandem.
Today, we’re proud to launch the Armilla Partnership Program, the next step in building the connective infrastructure between the AI assurance ecosystem and the insurance markets that depend on it.
This initiative brings together a curated network of companies advancing the frontier of AI governance, risk, compliance, and evaluation—from assessment providers and MLOps tools to LLM observability platforms, guardrails, GRC software, and test-data providers. Collectively, these partners will make AI risk measurable, insurable, and governable.
Through this program, validated data from trusted assurance providers can now flow directly into our underwriting process, creating seamless pathways from technical validation to liability coverage. In doing so, we are laying the institutional foundations of a new market—one designed to be built with the assurance community, not around it.
We’re excited to announce Trustible as the first member of the Armilla Partnership Program.
Trustible’s pioneering governance platform helps organizations operationalize responsible AI by aligning with global standards such as ISO/IEC 42001, NIST AI RMF, and the EU AI Act. By joining forces, Armilla and Trustible will enable enterprises to translate AI governance maturity directly into insurability—connecting continuous assurance with measurable reductions in risk.
In practice, companies using Trustible’s tools to manage AI compliance and governance will be able to streamline their path to securing Armilla’s AI liability coverage. It’s a natural alignment between governance and underwriting—one that turns responsible AI into a measurable business advantage.
See the announcement here. Read Trustible's blog here.
The AI governance landscape is evolving rapidly. What began as voluntary principles has become a commercial necessity. Regulators, customers, and boards are all asking the same questions: Can you prove your AI is performant, trustworthy, and compliant?
For insurers like us, those same questions determine whether—and how—a company qualifies for coverage. That’s why partnerships like this matter: they close the loop between governance and protection, creating the market infrastructure for insurable AI.
The launch of the Armilla Partnership Program marks the next phase in building a trustworthy AI economy—one where assurance data powers underwriting and financial incentives reward responsibility.
We’re inviting the broader assurance and governance community to join us as co-architects of the insurable AI economy. If your work strengthens AI safety, governance, or evaluation, we invite you to join us — extending that impact into insurability and helping shape the market mechanisms that reward responsible AI.