GhostProver

Compliance Layer for AI inference

[GhostProver @GhostProver]

@0g_CN Thanks for the shotout!
An amazing experience building on the 0G ecosystem!

[Soham Vijay @0xr10t]

Had a great time building this, lots of learning, and in the end, shipped a great project on @0g_CN.
#BuildOn0G

[GhostProver @GhostProver]

Here’s an article about the thought process of why we are building GhostProver!

[Grover @GroverInnovate]

I was wondering about AI adoption in corporate and what were the actual blockers in it. I researched about in past few weeks, made a project to solve it!
Here are my findings -
https://t.co/wLSyDVjnAu

Open for reviews!

[GhostProver @GhostProver]

We’re submitting this project for @0G_labs @0g_CN hackathon organised by @HackQuest_

#0GHackathon #BuildOn0G

[GhostProver @GhostProver]

The bigger idea behind GhostProver is that AI systems should be able to say:

“we did not send regulated or sensitive data into this model”

and prove that claim with cryptography, while using 0G as the underlying verifiable compute, storage, and settlement layer.

[GhostProver @GhostProver]

We built GhostProver: a privacy-preserving compliance layer for AI workflows on the 0G stack.

Its job is simple:

“prove that an AI prompt did not contain sensitive data without revealing the prompt itself.”

Start reading how it is made and how does it work:

[GhostProver @GhostProver]

That means GhostProver can sit in front of AI systems and do 2 main things:

- block prompts that contain risky data
- generate cryptographic receipts for prompts that pass compliance checks

With 0G, those receipts can be independently verified instead of remaining internal logs

[GhostProver @GhostProver]

@0G_labs GhostProver is building on top of this Sealed Infrence to generate Cryptographic Receipts of non membership for compliance.
So, you now have Private Infrence + A proof that your prompt never contained any sensitive data. A much needed thing for institutions for compliance.

[GhostProver @GhostProver]

@0g_CN Building GhostProver for this Hackathon. Check out our Project- https://t.co/jJevbiZiQL

[GhostProver @GhostProver]

Every AI prompt your company sends is a trust exercise with no receipt.

You don't know if your vendor's model saw your Sensitive Information.
You can't prove it didn't.
Neither can they.

That's not a privacy problem. That's a liability problem.

🧵

[GhostProver @GhostProver]

@IamYashKapoor Building Cryptographic Proof system that proves AI never saw your secrets

[GhostProver @GhostProver]

@KaiXCreator Building Cryptographic Proof system that proves AI never saw your secrets

[GhostProver @GhostProver]

@khushiirl Building Cryptographic Proof system that proves AI never saw your secrets

[GhostProver @GhostProver]

@MicroLaunchHQ Building Cryptographic Proof system that proves AI never saw your secrets