This course covers Automated Surveillance & Alert Accuracy, which involves evaluating the effectiveness and accuracy of automated surveillance systems and alert mechanisms within the Loan Against Shares (LAS) Credit workflow to ensure timely identification of price movements, liquidity concerns, and exposure-related risks. It evaluates key dimensions such as price, liquidity risks, management of credit against listed securities, and margin maintenance, with each requiring independent validation and documented rationale before any credit action is finalized. It is distinct from broader early warning detection systems, as it focuses specifically on structured identification, monitoring, and breach response through automated surveillance and alert controls, while early warning detection systems address wider predictive monitoring and strategic risk surveillance with separate evidence standards, ownership, and approval authority. Within LAS Monitoring, Alerts & Surveillance, the credit manager validates team-level analysis, approves case recommendations, and manages segment-level exposure, shaping escalation scope and credit committee priorities.