-
February 01, 2026
Why Trust in Digital Evidence Requires Both Cryptography and Forensics
In an age of AI-generated media and invisible digital edits, trust in evidence can’t rely on appearances alone. This article explains why combining cryptographic hashes with forensic analysis is essential for verifying the integrity, history, and credibility of modern digital evidence.
-
January 28, 2026
Why “Untouched” Digital Evidence Is No Longer Believable in Court
Courts are no longer asking if digital evidence could be altered — they’re asking how you can prove it wasn’t. Here’s why traditional evidence handling is failing, and how verifiable integrity changes everything.
-
January 24, 2026
Digital Evidence Is Broken — Here’s How CanonProof Restores Trust in a World of AI Manipulation
Screenshots lie. Images can be edited invisibly. Audio can be fabricated. In a world of deepfakes and AI manipulation, CanonProof exists to restore trust in digital evidence — with cryptographic verification, forensic analysis, and legally defensible certificates.
-
January 17, 2026
CanonProof v1: what’s in the first release
The first release focuses on fast, explainable verification plus signed certificates and Public Verify.
-
January 15, 2026
Audio authenticity: why band-limits and discontinuities matter
Two fast audio indicators that often separate real recordings from heavy edits and synthetic pipelines.
-
January 13, 2026
PDF forensics: what we check in the MVP
PDFs can be altered in subtle ways. Here are the structural signals we extract and why they matter.