About this talk
In this session, Chandana Mulpuri discusses "Graph-Powered Compliance: Building Intelligent Regulatory Mapping with AI and Neo4j" at NODES AI. The talk highlights the limitations of traditional compliance methods that rely on annual audits and manual documentation, emphasizing the need for innovative approaches in dynamic cloud environments. Mulpuri explains how Neo4j graph databases, complemented by AI, can transform regulatory requirements into strategic enablers through the modeling of interconnected compliance elements. The session delves into graph-based architectures for multi-cloud compliance, the concept of Compliance-as-Code for automated checks, and the integration of AI and machine learning for requirement extraction and anomaly detection. Additionally, it covers the use of OSCAL for standardization and discusses schema design and risk management strategies in real-world implementations of graph-powered compliance.
More from this event
See all 37 talks →
NODES AI 2026 - Agentic GraphRAG: Autonomous Knowledge Graph Construction and Adaptive Retrieval
11:51
NODES AI 2026 - Semiont: A Graph Based, AI Native Wiki and Annotator
29:48
NODES AI 2026 - MemMachine: Agents That Learn, Memory That Lasts
30:03
NODES AI 2026 - Ghost-busting with Neo4j Graph Analytics in Snowflake
28:47