Optimizing Enterprise Risk Management for Decision Making Using Knowledge Graph
DOI:
https://doi.org/10.21512/emacsjournal.v7i3.14325Keywords:
Enterprise Risk Management, Assets, Threat, Vulnerability, Knowledge GraphAbstract
Enterprise risk management can effectively represent the intricate relationships between risks, vulnerabilities, threats, and assets by incorporating a knowledge graph. Organizations can depict the interconnectedness of risk in a structured, adaptable, and understandable way by showing these components as nodes and their interactions as edges. This graph-based method makes it possible to store and query risk data in ways that are not entirely supported by conventional relational models.
This method's ability to execute graph queries that uncover links and patterns that would otherwise be obscured in siloed datasets is one of its main advantages. Such inquiries can reveal how a single threat can lead to many vulnerabilities across multiple assets, or how flaws in shared systems can directly and indirectly raise exposure to interconnected hazards. These revelations draw attention to structural flaws that linear or isolated investigations frequently ignore.
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