Building trusted agentic AI in financial services: From data to autonomous action

This post discusses the shift from generative AI to agentic AI in financial services, emphasizing the critical need for trusted context, governance, and observability. It details how observability (metrics, traces, logs) becomes the control plane for governing AI, enabling reconstruction of reasoning and actions. The post also highlights the role of enterprise search in providing current, permission-aware, and governed knowledge to AI agents, and the evolution of security operations to an agentic model for investigating and correlating AI-driven threats. It frames these capabilities as essential for building trusted agentic AI in regulated industries.