Zeyno Dodd
Conjectura-R&D
Rockville, Maryland, United States
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Cloud Solution Architect and Researcher with 25+ years in software development and research. Committed to leveraging AI to address complex real-world challenges with societal impact. Specializes in applying Graph Neural Networks (GNN) within Cloud/Edge/Hybrid Machine Learning frameworks. Engages in transformative projects and open-source collaborations to connect theoretical research with practical applications. The recent focus on extending the Generative AI and Agentic frameworks through Agency 5051 is an initiative that brings agentic RAG workflows to real-world compliance, licensing, and certification platforms in the public sector.
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Future-Proofing Compliance: Leveraging Knowledge Graphs and AI in Cybersecurity
Traditional approaches to cybersecurity compliance are being redefined in an era marked by rapidly evolving cybersecurity threats and stringent compliance requirements. This session explores the innovative integration of Knowledge Graphs (KG) and Retrieval Augmented Generation (RAG) with Generative AI to address the ever-evolving complexities of cybersecurity frameworks like NIST CSF v2.0, NIST 800-171, and CMMC. I will briefly delve into an open-source proof-of-concept demonstrating how these technologies can automate the discovery of compliance relationships and streamline cross-framework assessments. Join me in discovering how we can significantly enhance cybersecurity measures by harnessing open-source tools and AI, reducing the resource burden, and maintaining timely and robust adherence to evolving standards.
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