NODES AI 2026 - Agentic AI Governance: Data Foundations & Real-Time Policy Enforcement

This session features William Liang and Murthy Chandrapaty from NODES AI discussing "Agentic AI Governance: Data Foundations & Real-Time Policy Enforcement." They explore the architectural innovations necessary for effective control, governance, and compliance in agentic AI systems, emphasizing the importance of robust Data Foundations and real-time capabilities. The talk covers Adobe's transition to a property-centric Neo4j graph for data policies and demonstrates how agentic AI can convert natural language into Cypher queries for governance graph evaluation. Attendees will gain insights into modeling governance policies, schema-aware prompt engineering for LLM-generated Cypher, and developing multi-tool workflows for graph debugging using advanced techniques.