SP-SEC-50 Evidence Corpus: Structured Evidence on AI-Enabled Identity Fraud and PII Degradation

SP-SEC-50 Evidence Corpus v1.0 is a structured evidence dataset supporting The Synthetic Panopticon, a technical report on AI-enabled identity fraud, PII degradation, synthetic identity risk, and layered identity assurance. The corpus maps academic, government, standards, regulatory, and operational telemetry sources into structured fields including source type, domain, attack vector, defense layer, metric family, metric value, metric unit, comparability group, confidence level, limitations, and review status. The dataset is intended to support reproducible evidence synthesis, citation, review, extension, and future research on synthetic identity fraud, deepfake-enabled impersonation, digital document forgery, phishing-resistant authentication, and multi-layer identity defense.Associated technical report: https://doi.org/10.5281/zenodo.20835606Project landing page: https://patildineshgowd.github.io/synthetic-panopticon/GitHub repository: https://github.com/patildineshgowd/synthetic-panopticon