Emmanuèle Lutfalla and Louis Fer discuss how emerging technology is forcing a rewrite of insurance law, in Cyber Security Intelligence

The legal frameworks governing insurance were largely designed for a tangible world of physical assets, clear liabilities, and human-driven actions. Today, a wave of emerging technologies, from autonomous software to augmented human devices, is testing the very foundations of these principles. These innovations are not merely leading to the creation of new insurance products; they are fundamentally reshaping core concepts of risk, liability, and the preventative role of the insurer. The industry now faces the critical task of adapting centuries-old legal doctrines to a reality where the line between product, service and human agency is increasingly blurred.

The intangible risk: insuring the algorithmic world

The first profound shift is driven by fully dematerialised technologies, such as advanced chatbots and autonomous AI agents. Here, risk is increasingly detached from any physical object, residing instead in data flows and algorithmic decision-making. Cyber-insurance policies, designed to protect informational assets, are the natural vectors for these novel exposures. However, the core legal challenge lies in qualifying the risk generated by the algorithm itself. When an autonomous system produces harmful or dangerous outputs, does the liability stem from a technical failure (a software bug) or a behavioural risk (the unpredictable outcome of machine learning)? This ambiguity forces a re-examination of policy wordings and exclusions.

In response, we are witnessing the emergence of a new, preventative role for insurers. To underwrite such intangible risks, insurers are increasingly likely to tie coverage to stringent requirements for algorithmic governance. This could include mandatory security protocols, bias-testing frameworks, and controls to prevent harmful outputs. The insurance contract thus becomes a vehicle for technical norm-setting, imposing minimum standards of digital risk management on the insured. In this realm, the insurer acts less as a simple indemnifier and more as a partner in enforcing operational resilience, shaping corporate behaviour through the conditional promise of coverage.

Redefining coverage: physical assets, digital intelligence

The second major shift involves technologies deeply embedded within traditionally insured physical assets, with connected and autonomous vehicles being the prime example. The integration of self-governing software into a car fragments the chain of technical causation in an accident. Was it a mechanical brake failure, a sensor error, a flawed algorithm, or driver misuse? Legal liability, therefore, requires requalification, often following a sequential model: primary liability may rest with the vehicle owner or user, with the manufacturer or software developer liable only where a defect or failure in the technology was a contributing factor.

While this complexity is significant, traditional insurance law has, so far, demonstrated a notable capacity for adaptation without a complete doctrinal rupture. This legal flexibility mirrors the evolution seen in professional liability or product recall policies, which have long adapted to intangible exposures through the intricate layering of endorsements and exclusions. These policies have succeeded by remaining anchored to a tangible core, such as the provision of a professional service or the manufacture of a physical good. A similar anchoring principle allows the motor insurance framework to evolve. The fundamental trigger for coverage remains the tangible, physical event of a collision or loss involving the vehicle.

Consequently, underwriters can innovate by attaching specific software-related exclusions or sub-limits to traditional policies, effectively managing the digital component of the risk without abandoning the established legal edifice built around the vehicle itself. Real-world incidents, such as accidents involving vehicles with driver-assistance systems, vividly demonstrate the potential for concurrent liabilities. The behaviour of the human driver does not necessarily preclude the liability of the manufacturer if a software defect contributed to the loss, leading to complex subrogation battles between insurers that will define precedents for years to come.

As the industry navigates these initial phases of adaptation, the horizon reveals even more complex challenges. The convergence of technologies, where AI and physical automation intersect, will create systemic and interconnected risks that transcend traditional policy categories. Future legal battles may not concern a single defective algorithm or a distracted driver, but rather the failure of an entire smart ecosystem. The ultimate test for insurance law will be its ability to move beyond modifying existing frameworks to developing entirely new ones capable of governing a world where risk is distributed, dynamic, a world where risk is permanently encoded into the invisible digital infrastructure that powers our daily existence.