Cryptographic proof. Not guesswork.
How It Works
Watch cryptographic provenance in action
Your AI creates content as usual
Generates tamper-proof manifest
100% proof of origin & integrity
Cryptographic certainty, not guessing
Your AI creates content
Tamper-proof manifest
100% proof of authenticity
Cryptographic certainty
Premium Security Infrastructure
Cryptographic verification designed for developers who demand certainty.
See It in Action
Watch cryptographic signing transform any text into verifiable proof
signature: ed25519:8d4e2f...
Instant Tamper Detection
Change a single character and verification fails immediately
Privacy-First Design
- No raw text stored—ever
- Deterministic verification (not probabilistic)
- GDPR-compliant by design
Ed25519 Signatures
Military-grade cryptography, sub-100ms verification
Embeddable Badge
Drop-in widget for any product UI
API + SDK
REST API, TypeScript SDK, 5-min integration
Audit Trails
Immutable history for compliance
Try It Now
Type any text. Get a cryptographic signature.
This is a client-side demo. Real signing happens server-side with your API key.
Who it's for
Content Agencies
Prove AI content came from your team.
Legal & Compliance
Court-admissible proof. EU AI Act ready.
Publishing & Media
Combat misinformation with verified origins.
AI Writing Tools
Let users prove their work is theirs.
Education
Verify AI tool usage policies.
Enterprise
Audit trails for AI documents.
Why AI Detection Can't Be Trusted
Independent studies show false positive rates ranging from single digits to over 60%, depending on text type, language background, and detector methodology.
False positive rates range from 1% to over 60% across independent studies, with severe bias against non-native English writers
Detection relies on statistical inference, not cryptographic proof—formal writing often triggers false flags
Detection models lag behind evolving AI systems and are easily bypassed by paraphrasing tools
Detection asks "does this look like AI?"
Provenance answers "where did this come from?"
What we do (and don't)
What Provenix Does
Prove content origin
Cryptographic signatures show where content came from
Detect tampering
Mathematical proof if content was altered after signing
Create audit trails
Immutable timestamp and metadata for compliance
Enable public verification
Anyone can verify without needing an account
Work with any content
Human-written, AI-generated, or hybrid—provenance works for all
What Provenix Doesn't Do
Detect if text is AI-generated
We don't guess authorship—we prove origin
Analyse writing style
No statistical inference or perplexity scoring
Scan unsigned content
Content must be signed first—we can't retroactively verify unsigned text
Replace plagiarism checkers
We prove authenticity, not originality vs. existing sources
Require AI model integration
Works independently of the AI tools used to create content
Use Case: Provenix complements detection tools by proving where content came from, not guessing if it's AI-generated.
For developers
Two endpoints. Docs that don't suck.
Simple API
Sign. Verify. Done.
<100ms
Real-time signing.
No Storage
Hashes only. Content stays yours.
Widget
One-click verification badge.
60-Second Setup
Drop-in SDK for JavaScript, TypeScript, and REST API. Quick start guide →
const result = await provenix.sign({
content: 'AI-generated report',
metadata: { model: 'gpt-4' }
})
console.log(result.verifyUrl)Embeddable Widget
Show verification status in your product
<provenix-widget manifest='...'> </provenix-widget>
See It In Your Product
Explore how developers integrate Provenix badges and verification modals into real-world applications. Click any example to interact with the verification flow.
Student Submission
COMP3001 - Ethics in AI
The Future of AI Ethics: Balancing Innovation and Responsibility
The rapid advancement of artificial intelligence has fundamentally transformed how we approach problem-solving, decision-making, and innovation across industries. However, with this technological progress comes an urgent responsibility to establish ethical frameworks that guide AI development and deployment.
Recent developments in generative AI have raised critical questions about authenticity, attribution, and academic integrity. Traditional detection methods rely on probabilistic analysis, which has proven unreliable with false positive rates exceeding 26% according to recent studies...
[Essay continues for 2,847 words...]
Ready to Add Verification to Your Product?
These examples show real integration patterns. Copy the code, customize the badge placement, and add cryptographic provenance in under 5 minutes.
Frequently Asked Questions
Everything you need to know about cryptographic provenance and verification
Still have questions?