A retrieval-grounded multi-agent LLM system for ISO 27001 evidence review receives mostly positive but mixed ratings from practicing auditors on simulated organizations.
I.; Abualhaija, S.; and Briand, L
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
IntelliAudit: Using Large Language Models to Evaluate Audit Controls
A retrieval-grounded multi-agent LLM system for ISO 27001 evidence review receives mostly positive but mixed ratings from practicing auditors on simulated organizations.