Project Eleven and Relm Insurance map out quantum risks for digital assets

Project Eleven and Relm Insurance have begun a first-of-its-kind partnership to explore how post-quantum security will factor into the pricing of digital asset insurance. Alex Pruden, CEO and Co-Founder of Project Eleven, said that every institution holding digital assets will eventually need to prepare for post-quantum cryptography, and the open question is whether that transition happens on the institution’s schedule or under pressure. The collaboration will explore how an institution’s post-quantum security controls could be evaluated within digital asset insurance underwriting.

Relm Insurance Assesses Quantum Risk in Digital Asset Underwriting

The companies will specifically investigate how key exposure, signing systems, and migration readiness can be assessed within existing insurance frameworks. Project Eleven’s Strongpoint institutional custody product facilitates this evaluation by combining both classical and post-quantum signing methods. This architecture allows institutions to upgrade cryptographic algorithms without disrupting established approval rules or compromising existing audit trails, a critical feature for maintaining compliance and trust.

Relm Insurance is providing input to ensure Strongpoint’s security controls align with the needs of insurance underwriting and risk assessment; this design is central to the partnership, and the goal is to define the evidence institutions will need to demonstrate their post-quantum readiness to insurers, Project Eleven says. The partnership’s initial focus is on building a shared understanding of post-quantum risks and the controls needed to mitigate them, rather than immediately altering insurance premiums.

Joseph Ziolkowski, founder and CEO of Relm Insurance, emphasized the need for forward-looking underwriting practices. “Insuring exposures across the digital asset ecosystem requires underwriters to anticipate how risks will evolve,” Ziolkowski said. “Quantum computing is a clear example of an emerging threat that should shape the way we assess risk today.” Relm’s involvement aims to lay the groundwork for insurance solutions that foster confidence and resilience in the digital asset space.

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The companies will also examine third-party dependencies as part of their assessment, recognizing that a robust post-quantum strategy requires considering all parts of the digital asset ecosystem. This exploratory work will inform Strongpoint’s approach to security controls and auditability, ensuring the platform can provide the necessary evidence of post-quantum readiness for insurers.

While any future impact on underwriting or premiums remains subject to further evaluation, the collaboration represents a step toward integrating quantum risk management into the mainstream financial infrastructure. Institutions can find more information about Strongpoint at projecteleven. com/strongpoint.

Every institution holding digital assets will eventually need to prepare for post-quantum cryptography. The open question is whether that transition happens on the institution’s schedule or under pressure.

Alex Pruden, CEO and Co-Founder of Project Eleven
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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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