Big data is transforming the insurance industry by enhancing risk assessment, fraud detection, and personalized policy offerings, yet it introduces challenges related to data privacy, security, and ethical concerns. With the integration of artificial intelligence and machine learning, insurers can use real-time data from sources like social media and wearable devices to refine predictive models, resulting in more accurate pricing and tailored policies. However, the vast amounts of sensitive information handled by insurers raise issues of data management, regulatory compliance, and the potential for algorithmic bias. Secure collaborative AI, particularly using technologies like homomorphic encryption, offers a solution by allowing insurers to conduct data analysis without exposing sensitive information, enabling safe collaboration with third-party data providers. This approach not only mitigates risks but also enhances customer experience and accelerates product development. Duality Technologies' Secure Collaborative AI platform exemplifies how insurers can leverage big data efficiently and securely, promoting innovation and maintaining regulatory compliance.