The paper develops a design science framework for governing AI-assisted operational decision support in security operations centers by specifying a query-broker artifact that separates AI planning from execution through approved templates, policy validation, and engineering review gates.
FEDS: A framework for evaluation in design science research
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A design theory is derived for trustworthy master data management based on self-sovereign identity to support reliable, sovereign, and accountable data sharing in data ecosystems.
citing papers explorer
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Governing AI-Assisted Security Operations: A Design Science Framework for Operational Decision Support
The paper develops a design science framework for governing AI-assisted operational decision support in security operations centers by specifying a query-broker artifact that separates AI planning from execution through approved templates, policy validation, and engineering review gates.
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Beyond the Golden Record: Toward a Design Theory for Trustworthy Master Data Management with Self-Sovereign Identity
A design theory is derived for trustworthy master data management based on self-sovereign identity to support reliable, sovereign, and accountable data sharing in data ecosystems.