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DFIR intentionality engine for SIFT. Verdicts sealed before any LLM sees the evidence. Detects fabricated artifacts and false flags — not just what happened, but who benefits from that interpretation. And VIGÍA is an abductive reasoning engine for DFIR
Spanish knowledge base on zero-knowledge cryptography (Midnight): proving a forensic expert's identity and possession of victim evidence under the Daubert standard without revealing private data.
Zero-knowledge attestation for forensic verdicts on Midnight — a forensic expert seals evidence locally and proves a verdict is legitimate (with Daubert-style corroboration rules enforced as circuit constraints) without ever exposing the underlying evidence on-chain.
OACSP-Forensics: a cross-modal selective prediction benchmark for digital forensic triage. Applies ordinal-aware class-conditional selective prediction to phishing URLs (PhishTank), malware binaries (EMBER), and memory forensics (CIC-MalMem-2022) with Daubert-aligned evaluation and coverage-risk curves for court-admissible AI triage.