Beyond Deepfake Detection: Mathematical Proof
Deepfake detection analyzes patterns after content is created. Encypher embeds cryptographic proof at creation.
The difference? Detection guesses. Authentication knows.
From the Authors of the C2PA Text Standard
Why Deepfake Detection Isn't Enough
Statistical pattern matching has fundamental limitations that cryptographic authentication solves.
Post-Hoc Analysis
Deepfake detection examines content after creation, looking for statistical anomalies. As generation improves, detection becomes impossible. It's a losing arms race.
False Positives
Statistical tools flag legitimate content as fake. High false positive rates erode trust and create legal exposure. One wrong call damages credibility permanently.
No Proof of Origin
Detection can't prove who created content or when modifications occurred. It identifies potential fakes but provides no evidence for what's real.
The Cryptographic Authentication Advantage
Encypher embeds proof at creation. Not analysis after—authentication during.
How Cryptographic Authentication Works
Content Creation
Cryptographic signatures embedded at the moment of creation—invisible, tamper-proof
Immutable Record
Origin, timestamp, creator identity, and modifications tracked with mathematical certainty
Instant Verification
Anyone can verify authenticity with 100% accuracy—no guessing, no false positives
What You Get
100% Accuracy
Mathematical proof, not statistical probability
Zero False Positives
Authentic content never flagged incorrectly
Proof of Origin
Know exactly who created what and when
Tamper Detection
See exactly what changed and where
Court-Admissible
Evidence that stands up in legal proceedings
Detection vs. Authentication: The Fundamental Difference
| Capability | Deepfake Detection | Cryptographic Authentication |
|---|---|---|
| When Applied | After creation | At creation |
| Method | Statistical analysis | Cryptographic proof |
| False Positives | High | Zero |
| Proof of Origin | ❌ | ✅ |
| Tamper Detection | ❌ | ✅ |
| Court-Admissible | Rarely | Always |
| Future-Proof | ❌ (AI improves) | ✅ (Math doesn't change) |
Who Needs Authentication Beyond Detection
Publishers
Prove AI copyright infringement with court-admissible evidence. Transform litigation into licensing.
Learn MoreAI Companies
Track model outputs and performance intelligence. Ensure publisher compatibility and compliance.
Learn MoreEnterprises
EU AI Act compliance with audit trails. Content governance at scale with intelligence upside.
Learn MoreWe're Authoring the Future of Text Content Authenticity
Collaborating with the World's Leading Companies
Move Beyond Detection to Authentication
See how cryptographic authentication provides the certainty deepfake detection can't deliver.