NODES AI 2026 – Graph-Powered Compliance: Building Intelligent Regulatory Mapping with AI and Neo4j

Join Chandana Mulpuri at NODES AI for this session: “Graph-Powered Compliance: Building Intelligent Regulatory Mapping with AI and Neo4j”.

Traditional compliance approaches—relying on annual audits and manual documentation—fail to address the dynamic nature of modern cloud environments where resources exist for mere minutes. This session explores how Neo4j graph databases and AI transform regulatory requirements from reactive liabilities into strategic enablers.

By modeling the relationships between controls, regulations, assets, and evidence as a connected network, organizations can move toward Continuous Compliance.

Key takeaways from this session:
– Graph-Based Architectures: Why modeling compliance as a network is superior to isolated data points for multi-cloud environments.

– Compliance-as-Code: Encoding validation requirements within graph structures to trigger automated checks in CI/CD pipelines.

– AI & Machine Learning: Leveraging LLMs to extract requirements from documentation and using graph-based anomaly detection to identify control failures.

– Standardization with OSCAL: Integrating Open Security Controls Assessment Language for interoperability across frameworks.

– Real-world Implementation: Schema design for regulatory mapping and strategies for managing alert fatigue through graph-based risk prioritization.

As regulatory complexity intensifies around AI governance and data sovereignty, learn why graph-powered compliance is the essential evolution for modern enterprise innovation.

Learn more about Neo4j: https://neo4j.com/
Get Started with Aura: https://neo4j.com/product/aura-agent/
Join Free, Self-Paced Online Learning: https://graphacademy.neo4j.com/

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