Firms seeking coverage face deeper underwriting as artificial intelligence reshapes liability landscape
India’s insurance sector is beginning to factor artificial intelligence into its core risk assessment frameworks, with insurers increasingly questioning companies on their use of AI tools before issuing cyber insurance policies.
The shift reflects a growing recognition that AI systems, while driving efficiency and innovation, also introduce new and complex vulnerabilities that traditional underwriting models are not designed to capture.
Insurers are now seeking detailed disclosures from firms, including the types of AI tools deployed, the nature of data processed, and the safeguards in place to prevent misuse or breaches. The move marks a transition from evaluating conventional IT infrastructure risks to examining how organisations design, train and deploy AI systems.
Industry experts say the development is being driven by a surge in AI-enabled threats, including deepfake fraud, automated phishing campaigns and data manipulation risks. These threats expand the attack surface for businesses, making cyber incidents harder to predict and contain.
For insurers, the challenge lies in pricing these emerging risks accurately. Unlike legacy systems, AI models often operate as opaque “black boxes”, making it difficult to assess how they might behave under stress or be exploited by malicious actors.
As a result, underwriting processes are becoming more granular. Companies without clear AI governance frameworks or robust data management practices may face higher premiums, restricted coverage, or additional exclusions tied specifically to AI-related incidents.
The trend also signals a broader shift in how corporate risk is defined. AI is no longer viewed solely as a productivity tool, but as a potential liability that requires oversight at the highest levels of an organisation. Boards and leadership teams are increasingly expected to demonstrate accountability in how AI systems are implemented and monitored.
Globally, insurers have already begun introducing clauses that limit exposure to AI-driven losses, citing the unpredictability and scale of potential claims. Indian insurers appear to be moving in a similar direction, aligning with international risk assessment practices.
For businesses, the implications are immediate. As AI adoption accelerates across sectors, companies may need to formalise governance structures, strengthen cybersecurity protocols, and maintain greater transparency around their AI deployments to remain insurable.
The development underscores a fundamental shift in the digital economy: as AI becomes embedded in business operations, it is also becoming central to how risk is measured, priced and managed.
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