Digital identities refer to the electronic representations of individuals, devices, or other entities in the digital world. In organizations, digital identities play a crucial role in managing access to digital resources and protecting sensitive data. These identities should be protected to prevent unauthorized access, data breaches, and other security incidents that can compromise the confidentiality, integrity, and availability of critical information and systems. In this session, Daniel will discuss how graph technology can be used to assess, propagate, and prioritize risk across corporate digital identities. By analyzing the relationships between identities and their behavior patterns, graph technology provides a more comprehensive view of potential risks. He will also dive deeper into how to ingest multiple data sources into a digital identities knowledge graph, then run multiple graph algorithms to uncover risky identities.
NODES 2023 – Digital Identity Risk Assessment With Neo4j
14 Mar, 2024