Architecting Trusted Agents: Turning Knowledge Graphs into Secure Policy Engines
This event explores how to convert knowledge graphs into secure policy engines to enable AI agents to provide accurate, data-grounded responses. It targets developers, AI practitioners, and technology professionals interested in trusted AI systems. Attendees will learn about improving AI reliability and enforcing security through knowledge graph architectures.