AI-driven analytics assist in risk assessment by analyzing vast datasets to identify potential risks and vulnerabilities. By utilizing techniques such as predictive analytics and machine learning, these systems can forecast future risks based on historical data patterns. For instance, in financial services, AI analytics can monitor transactions for fraudulent activities, flagging anomalies for further investigation. Moreover, the ability to process real-time data enables organizations to respond proactively to emerging threats. This enhances decision-making, ultimately reducing operational risk and improving overall risk management strategies.