Streamlining RiskOps with the SOP agent framework

This post details the application of the SOP-driven LLM Agent Framework to automate Account Takeover (ATO) investigations in Risk Operations (RiskOps). It describes the framework's core components: an SOP planner that guides investigations using a tree structure with natural language definitions and @function_name notation for external calls, and a Worker Agent that executes these SOPs. The dynamic execution engine uses a Depth-First Search (DFS) inspired approach for systematic processing. The post highlights the efficiency gains, including a reduction in handling time from 22 to 3 minutes per ticket, 87% automation of ATO cases, and a zero-error rate. It also mentions Slack integration for reporting.