The Quantum Imperative: Preparing Insurance for the Technology That Will Redefine Risk

In this article:

• Quantum computing represents a fundamentally distinct computing paradigm, not an incremental upgrade, and its value is concentrated in high-complexity, combinatorial problems that classical systems cannot efficiently solve.

• Concrete insurance applications are already emerging across specialty risk modeling, portfolio optimization, claims logistics, and quantum-enhanced sensing for underwriting intelligence.

• Post-quantum cryptography represents a critical near-term risk. Leading experts project that quantum computers will be capable of breaking current encryption standards by 2029, while historical cybersecurity migrations have typically required one to two decades to complete.

• The most urgent action for insurance leadership today is a structured audit of cryptographic infrastructure, paired with investment in quantum literacy at the executive level, across both the risk and competitive opportunity dimensions.

At the InsurTech America Symposium in Hartford, a panel of senior practitioners convened to move past abstraction and address a more consequential question: what does quantum technology mean for the insurance industry in concrete, near-term terms? The session, "Quantum for Insurance: Near-Term Wins," brought together Prasath Parthiban, Assistant Vice President at Sompo; Scott Dillman, AVP of Emerging Technology at Travelers; Mike Knas, AVP of Emerging Technology and Innovation at The Hartford; and Vivek Ramakrishnan, Senior Director of Technology Deployment at QuantumCT. The conversation that followed was among the most substantive at the conference, grounding an often overhyped technology in the specific risk, operational, and regulatory pressures that insurance leaders face today.

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A new computing paradigm, not an incremental one

The panel opened by addressing the most persistent misconception in enterprise conversations about quantum: that it is simply a faster version of classical computing. "People look at the laptop in front of them and assume that in five years they will have a quantum replacement," said Scott Dillman of Travelers. "That is not the case." Quantum computing does not improve on classical computation in the way that successive processor generations have. It operates on entirely different principles, drawing on quantum mechanics to represent and process information in ways that classical binary logic cannot replicate.

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A more precise framing, offered by Dillman, is the one the industry already accepted with GPUs. Graphics processing units were once considered niche hardware for gaming workloads. Over time, their capacity for massively parallel computation made them foundational to artificial intelligence. Quantum represents an analogous development: a purpose-built paradigm suited to a specific class of problems. Those problems are defined by enormous combinatorial complexity, where the number of possible variable combinations scales exponentially and classical systems are forced to evaluate them sequentially. In those environments, quantum's ability to assess multiple states simultaneously produces solutions that would otherwise be computationally unreachable.

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This shift is already registering at the strategic level. Trendtracker's Megashifts Shaping the Future of Insurance report identifies the Quantum Leap as one of nine structural forces reshaping the industry, framing computing capacity as a board-level competitive advantage rather than an infrastructure decision. The report is direct: insurers with stronger compute capabilities iterate on models faster, improve fraud detection, sharpen claims triage, and achieve greater pricing precision. When that capacity becomes a constraint, the consequences are not technical. They are commercial — slower decision cycles, weaker service levels, and less accurate risk selection. The panelists at Hartford confirmed exactly this framing, and the session's central argument aligns with Trendtracker's finding that simulation strength now separates strong underwriters from weak ones.

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The practical implication, emphasized throughout the session, is that quantum will not replace classical infrastructure. It will augment it. The winning architecture is hybrid: classical systems handling the workloads they do well, with quantum applied selectively where the problem structure demands it. Insurance leaders should resist framing this as an either-or investment decision and instead focus on identifying where quantum's capabilities intersect with their highest-complexity analytical challenges.

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Insurance applications with near-term traction

The session surfaced several insurance-specific use cases where quantum's analytical capabilities map clearly to existing business problems. For Prasath Parthiban of Sompo, the most pressing opportunity lies in commercial and specialty lines, where thin historical datasets constrain the scenarios that underwriters can model. Aviation, cyber, and other specialty risks require carriers to synthesize data, construct assumptions, and run scenario analyses under significant uncertainty. Classical systems can only evaluate a subset of possible outcomes. A quantum-enabled approach removes that constraint, allowing underwriters to run all plausible scenarios simultaneously without the assumptions that currently limit model accuracy.

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The reinsurance context compounds this opportunity. When a commercial carrier evaluates whether to structure a program as quota share or excess of loss, the decision involves running multiple interlocking scenarios across loss distributions, portfolio concentrations, and counterparty exposures. Quantum's capacity to process those combinations in parallel offers a material improvement in decision quality, not just speed.

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"Identify the real problem first. The temptation to reverse-engineer a use case from the technology is one the industry cannot afford. Quantum is not applicable to every scenario, and the carriers who benefit will be those who start from the problem, not the tool." - Prasath Parthiban, Sompo

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Scott Dillman pointed to optimization as another high-value domain. Portfolio optimization and reserving in financial lines are natural candidates, as are operational challenges such as claims resource allocation following large-scale loss events, where routing adjusters efficiently across a disrupted geography is itself a complex combinatorial problem. Mike Knas added quantum sensing as a distinct and underappreciated near-term application. New generations of quantum sensors are providing visibility into physical environments that was previously inaccessible. For property underwriters, this translates directly: a construction project about to break ground in an urban area carries subsurface risk that today's tools cannot adequately assess. Quantum sensors change the information available at the point of underwriting, with meaningful implications for pricing accuracy and loss prevention.

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Taken together, these applications share a common structure: they address problems where the volume of variables, the absence of historical data, or the complexity of interdependencies has historically limited analytical quality. Quantum does not replace actuarial judgment. It expands the information and scenario coverage on which that judgment can be applied.

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Post-quantum cryptography: the risk that cannot wait

Alongside the commercial opportunity, the panel devoted significant attention to the cybersecurity threat that quantum computing poses to current encryption infrastructure. This is not a speculative long-term concern. It is a near-term operational risk with a credible timeline and material consequences for insurers both as enterprises and as risk carriers.

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Modern encryption relies on the computational difficulty of integer factorization. Classical computers cannot solve this problem at the scale required to break contemporary cryptographic standards within any practical timeframe. Quantum computers, once they reach sufficient scale, will be able to do so in seconds. The current consensus among leading researchers and institutions, including NIST, places that threshold at approximately 2029.

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The urgency is compounded by a strategy already in use by sophisticated threat actors: harvesting encrypted data today with the intention of decrypting it once quantum capability becomes available. Organizations that assume their current encryption is secure because quantum is not yet capable enough are operating under a false premise. The data being transmitted and stored today may be vulnerable to decryption within the decade.

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"By the time organizations recognize the exposure, it is frequently too late to act. The harvest-now, decrypt-later threat is not theoretical. It is a present operational risk." - Vivek Ramakrishnan, QuantumCT

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NIST has spent eight years developing post-quantum cryptographic standards built on crystal lattice mathematics, a class of problems that even quantum computers cannot efficiently solve. These standards are now available, but adoption requires deliberate, organization-wide effort. Scott Dillman offered a sobering reference point: historical cybersecurity migrations, such as the transition from HTTP to HTTPS and the upgrade cycles from legacy TLS versions, have typically taken one to two decades to complete across enterprise ecosystems. The gap between the projected quantum threat timeline and the historical pace of cryptographic migration should concern every chief information security officer in the industry.

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For insurers, the risk carries an additional dimension. Carriers writing cyber coverage have structured their policy forms, coverage triggers, and exclusions under assumptions grounded in classical computing threat environments. As quantum capability advances, the threat surface for policyholders expands materially. Underwriters who have not begun to model this shift may find their cyber books exposed to loss scenarios that existing policy language does not adequately address.

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This product opportunity is precisely what the Megashifts Shaping the Future of Insurance report identifies as one of the most actionable near-term growth initiatives available to carriers. The report's recommended quantum-safe upgrade package proposes that insurers offer clients a structured path to post-quantum security, beginning with an encryption audit across their systems and key suppliers, followed by a staged migration plan to crypto-agile infrastructure. Critically, the report recommends tying insurance pricing to verified progress: clients who complete each upgrade step earn more favorable terms because their risk is measurably lower. This turns a compliance burden into a business incentive, and it gives insurers better underwriting signals in a risk category where historical claims data is essentially nonexistent. The panelists' call for crypto agility at the enterprise level maps directly to this framework.

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The executive agenda for the next twelve months

The panel closed with a direct question to each participant: what is the single most important action an insurance CEO should take in the next twelve months? The answers converged on two priorities.

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The first is structured education at the leadership level, covering both the competitive opportunity and the cryptographic risk in equal measure. Quantum is not a technology that can be safely delegated to IT teams while senior leadership focuses elsewhere. The decisions it will require, ranging from infrastructure investment and vendor due diligence to product development and policy form revision, are executive decisions. QuantumCT is already running executive education programs in partnership with the Yale School of Management. Similar initiatives are developing at the state and institutional level. Insurance leaders should be engaging with these programs now.

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The second priority is a cryptographic infrastructure audit. Organizations need a clear inventory of the algorithms in use across their own systems and those of their third-party vendors. Cloud providers, data processors, and technology partners each carry cryptographic exposure that feeds into the overall risk profile of the enterprise. Understanding that exposure is the prerequisite for developing a credible migration roadmap toward post-quantum standards. The concept of crypto agility, building infrastructure that can adapt to changing cryptographic standards without requiring wholesale replacement, is increasingly the benchmark against which enterprise resilience is being measured.

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For carriers operating in commercial and specialty lines, Prasath Parthiban added a third consideration: reviewing the assumptions embedded in existing cyber policy language. The exclusions and conditions that define coverage today were written for a world in which breaking enterprise encryption required nation-state resources and years of effort. That world is changing. Proactive carriers will get ahead of that shift by updating their policy frameworks before quantum-enabled threat actors force the issue.

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The convergence between what the Hartford panelists argued from practitioner experience and what Trendtracker's Megashifts research identifies from strategic intelligence analysis is notable. Quantum is simultaneously a source of underwriting advantage, an operational infrastructure imperative, and a product innovation opportunity. The carriers and leaders who treat it as a future consideration will find themselves behind organizations that recognized its dual nature and acted accordingly. The window for deliberate preparation is open. It will not remain so indefinitely.

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For a deep dive into Megashifts reshaping the future of Insurance, download the full report here.