Identity Observability via Knowledge Graphs
video
0000-00-00 00:00:00
Abstract
This talk addresses the critical challenge of Identity and Access Management (IAM) "drift" in rapidly growing enterprises, where nested groups and "quick-and-dirty" permission grants create an unmanageable blast radius. The speaker proposes the implementation of a Security Knowledge Graph to map the relationships between users, groups, and assets. By transitioning from traditional relational databases to a graph-based model, organizations can achieve deep observability into access paths, automate the removal of unused permissions, and implement context-aware enforcement to mitigate the risks posed by compromised accounts and unauthorized AI agents.
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Match Rate:
9.00/10
(Relevance to core cybersecurity goals)