AI’s Unique Risk Profile Makes It Difficult to Manage in Insurance

Artificial intelligence (AI) poses distinct challenges for risk management in the insurance sector, according to industry experts. Unlike traditional risks, AI systems can be unpredictable, dynamic, and difficult to monitor, making governance, validation, and mitigation more complex. Insurers adopting AI Read More …

Online Course on Insurtech : Driving the Digital Insurance Revolution

Insurtech : Driving the Digital Insurance Revolution

The insurance industry is undergoing one of the most significant transformations in its history. Driven by digital platforms, embedded insurance, artificial intelligence, automation, APIs, data analytics, and ecosystem partnerships, InsurTech is fundamentally changing how insurance products are designed, distributed, underwritten, Read More …

CNP Assurances Italia Partners with Kyndryl for IT Modernisation

CNP Assurances Italia has partnered with Kyndryl to modernise its IT infrastructure, aiming to enhance operational efficiency, scalability, and resilience in an increasingly digital insurance landscape. According to the report, the collaboration focuses on upgrading legacy systems and adopting modern, Read More …

Allianz partners with Anthropic to advance responsible AI adoption

Allianz has announced a strategic global partnership with Anthropic to accelerate the responsible use of artificial intelligence across the insurer’s operations. The collaboration aims to embed advanced generative AI capabilities while maintaining strong safeguards around ethics, governance, and risk management. Read More …

AI in Insurance Claims: From Operational Efficiency to Smarter Decisions

The insurance industry has long struggled with claims processing delays, rising operational costs, and inconsistent customer experiences. Claims are the moment of truth for any insurer, yet they remain one of the most complex and manually intensive functions. This is Read More …

MAS AI Risk Management Guidelines for Financial Firms

The Monetary Authority of Singapore (MAS) has published a consultation paper outlining proposed Guidelines on Artificial Intelligence (AI) Risk Management which will apply to all financial institutions (FIs) in Singapore. Under the guidelines, boards and senior management must assume direct Read More …

Japan considers tighter rules for crypto-lending and IEO investment caps

Japan’s Financial Services Agency (FSA) is reviewing new regulatory proposals that would impose stricter controls on crypto-asset lending and initial exchange offerings (IEOs), according to its Working Group on Crypto Asset Systems. The meeting, held on November 7 in Tokyo, Read More …

Global AI Model Risk-Management Market to Reach USD 14.6 B by 2032

The global market for AI model risk-management (MRM) solutions is witnessing substantial growth, with the market size forecast to increase from approximately USD 6.41 billion in 2025 to around USD 14.55 billion by 2032. This expansion reflects heightened adoption of Read More …

Zip launches global supplier risk-management solution for complex supply chains

Zip, a procurement-orchestration firm, has introduced its “Zip for Risk Orchestration” solution designed to help large organisations globally manage supplier risk, financial verification and regulatory compliance across sprawling vendor ecosystems. The launch was announced on April 1, 2025. The platform offers Read More …

Retrofitting AI into Model Risk Management is key to responsible AI deployment

The increasing adoption of artificial intelligence (AI) models in compliance, transaction monitoring, and Know Your Customer (KYC) processes is presenting complex risk-management challenges. According to Corporate Compliance Insights, integrating AI within existing Model Risk Management (MRM) frameworks is essential for Read More …