# Identity Confidence **Entity class:** Identity-Resolution Layer concept **Identity Confidence** is an evidentiary control for representing limits, error, bias, or confidence rather than silently converting inference into fact. Used correctly, Identity Confidence supports conditional inference and collection planning without promoting proximity, exposure, or model output into proof. ## Counterterrorism predictive-graph role A relationship or identity match is an evidence-bearing hypothesis with source, time, and confidence. It is not guilt by association. The analytic state should distinguish ground truth, observed evidence, inferred state, and predicted state. ## Relationships - **domain router:** [[wiki/Identity Resolution|Identity Resolution]]. - **ontology neighbors:** [[wiki/Attribute|Attribute]] and [[wiki/False Match|False Match]]. - **synthesis:** [[wiki/Counterterrorism Predictive Graph|Counterterrorism Predictive Graph]] and [[wiki/Predictive Intelligence Loop|Predictive Intelligence Loop]]. ## Sources - [NCTC — Guidelines for Access, Retention, Use, and Dissemination of United States Person Information (accessed September 23, 2026)](https://www.odni.gov/files/NCTC/documents/RelatedContent_documents/NCTCGuidelines.pdf) - [IARPA — AGILE technical overview (accessed September 23, 2026)](https://www.iarpa.gov/images/research-programs/AGILE/AGILE_ModSim_-_Final.pdf) **As of:** 2026-09-23