Lightning Talk: Future-Proofing Compliance: Leveraging Knowledge Graphs and AI in Cybe...
summary
An open-source proof of concept combines knowledge graphs with Retrieval Augmented Generation and a community‑edition LLM to automate mapping between NIST CSF v2.0 and the new HIPAA Security Rule, using a simple two‑step triage agent that augments prompts with graph embeddings and applies deterministic graph traversal. Baseline semantic overlap is ~5% from raw LLM output, the KG bumps that to ~20% and traversal raises agreement further to ~20–30%. Embeddings stored in the graph (e.g., Neo4j) reduce hallucination and speed targeted cross‑framework assessments.
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chapters (10)
- 0:00AI and knowledge graphs in compliance
- 1:04Cybersecurity standards challenges
- 3:34Workforce cuts impact compliance
- 5:20LLM testing with HIPAA 2025 and CSF 2.0
- 6:46LLM and knowledge graph collaboration
- 7:53Agent workflow and triage process
- 9:17Deterministic inference results
- 11:20Future-proofing compliance
- 12:23Open collaboration and standards
- 12:46Knowledge graph accuracy improvements
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