Graph Topology for Securing Wall Street's AI Agents and Multi-agent Systems

This 27-minute video from Discover AI explores how graph topology can secure AI agents in Wall Street and financial services. Learn about defending multi-agent systems against malicious attacks, counteracting memory-specific attack vectors, and preventing prompt injection vulnerabilities. Discover practical protection strategies for multi-agent AI systems based on the latest research from "G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems" by researchers from USTC, Tongji University, Wuhan University, and Shanghai University. Gain valuable insights into AI security measures specifically designed for financial markets and Bloomberg-type environments.