Risk management in capital markets is evolving, driven by the increasing complexity of data processing and the integration of AI agents, which enhance investment portfolio management by autonomously analyzing vast datasets and adapting to real-time changes. MongoDB, with its versatile document model and advanced features like Vector Search, plays a pivotal role in this transformation by enabling efficient data storage and retrieval, thereby empowering portfolio managers with sophisticated, actionable insights. The combination of agentic AI, large language models, and MongoDB's capabilities allows for more intelligent decision-making, improving portfolio performance and risk management. As AI-driven investment tools gain prominence, financial institutions are poised to leverage these advancements for optimized investment strategies. Meanwhile, MongoDB's leadership transition, with Chirantan "CJ" Desai set to succeed Dev Ittycheria as CEO, marks a new chapter aimed at positioning the company for future growth and innovation, capitalizing on the rise of AI and data-intensive applications.