FRR030
Calibrate closure evidence requirements to finding risk so critical issues receive effectiveness testing while low-risk items use targeted verification.
CyberTRIZ analysis · Audit contradiction FRR030 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Closure Evidence Depth vs Closure Efficiency
Business ContextThorough closure validation can demonstrate that corrective actions operate effectively and that residual exposure has been reduced. Requiring extensive evidence for every issue can create large validation backlogs, particularly for low-risk or straightforward findings.
Audit TRIZ ResolutionMatch closure evidence to finding significance, remediation complexity, and uncertainty. Critical or systemic findings receive deeper effectiveness testing, while straightforward low-risk corrections can rely on targeted verification or reliable system-generated evidence.
Applicable TRIZ Principles
Principle 3 – Local Quality varies closure validation according to finding risk.
Principle 1 – Segmentation separates different categories of closure requirements.
Principle 28 – Mechanics Substitution automates routine validation where objective evidence is available.
Expected Outcome
Reliable issue closure
Faster validation
Reduced closure backlogs
Better allocation of audit resources
Decision Indicators
Minor findings require the same closure evidence as critical findings.
Validation backlogs delay administrative closure for completed actions.
High-risk issues receive superficial validation because resources are spread evenly.
Closure procedures are determined primarily by templates.
Auditors manually verify conditions already demonstrated reliably by systems.