Confidence scoring in cyber intelligence expresses how strongly the available evidence supports a finding, attribution or relationship. A higher confidence level may reflect several independent, consistent signals, while a lower level indicates ambiguity or limited evidence. Confidence should remain separate from severity and business impact: a finding can be highly certain but low risk, or potentially serious but poorly supported. ThingsRecon uses confidence context to help practitioners decide which findings can move directly into action and which require further validation. In practice, teams should record the supporting evidence, confirm ownership and business criticality, and connect the finding to an accountable workflow. This prevents a useful observation from becoming another isolated score or dashboard alert. The strongest implementation combines external intelligence with internal knowledge, supplier engagement and documented risk decisions, creating a view that remains useful as the digital ecosystem changes.
FAQ
Continuous Monitoring