In the high-stakes world of Decentralized Finance (DeFi), rapid and sophisticated exploits like flash loan attacks can cause significant financial losses within seconds, necessitating a more immediate and intelligent defense mechanism beyond traditional monitoring systems. The text discusses the development of an Autonomous On-Chain Risk Sentinel designed to detect and respond to such threats in real-time by leveraging a combination of DeltaStream for stream processing and Generative AI for contextual analysis. The process involves simulating a blockchain environment, creating streams to filter critical data, and using streaming joins to identify attack patterns, all culminating in the deployment of an AI agent that provides a detailed risk assessment and recommended actions. This system transforms raw data into actionable intelligence by continuously monitoring transactions and market conditions, thus offering a proactive and autonomous defense strategy against DeFi exploits.