{
  "@context": "https://schema.org",
  "@type": "article",
  "@id": "https://anchorfact.org/kb/ai-digital-forensics",
  "headline": "AI for Digital Forensics: Deepfake Provenance, Evidence Authentication, and Digital Crime Investigation",
  "description": "AI-powered digital forensics detects manipulated media -- from deepfakes to doctored images. The forensic AI arms race pits generation against detection, with cryptographic provenance (C2PA) providing a proactive solution: cameras sign images at capture, creating verifiable chains of custody from sensor to screen.",
  "dateCreated": "2026-05-24T02:49:13.484Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "AI for Multimedia Forensics: Deepfake Detection, Provenance Analysis, and Evidence Authentication (IEEE Signal Processing, 2024)",
      "sameAs": "https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=79"
    },
    {
      "@type": "CreativeWork",
      "name": "C2PA Content Credentials 2.1: Cryptographic Provenance for Digital Media",
      "sameAs": "https://c2pa.org/specifications/"
    }
  ]
}