AI for Digital Forensics: Deepfake Provenance, Evidence Authentication, and Digital Crime Investigation

Status: public · Confidence: medium (0.865) · Basis: verified_sources

## TL;DR
AI digital forensics uses detection benchmarks, provenance standards, and forensic analysis programs to evaluate manipulated media. The repaired evidence is limited to FaceForensics++, C2PA, and DARPA MediFor.

## Core Explanation
FaceForensics++ is evidence for learned detection of manipulated facial imagery. C2PA is evidence for cryptographic provenance workflows built around manifests, claims, and signatures. DARPA MediFor is evidence for the broader government research goal of automated media-integrity assessment.

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