ZKCryptAI

Problem Statement

01

Data Exposure Risks in AI Applications and Agents

Traditional and decentralized machine learning approaches, including AI agents, often expose sensitive user data during various operational phases, risking user privacy and confidentiality.

02

Risk of Threats

Even with federated and decentralized learning, such as Bittensor networks, sensitive data can still be at risk from threats like model inversion attacks, data leakage, and collusion among data participants.

03

Challenges with Zero-Knowledge Protocols Integration

Implementing effective Zero-Knowledge Proof (ZKP) techniques within AI frameworks is complex, often leading to inefficiencies and failing to adequately protect user privacy.

04

Lack of Integration for Machine Learning, ZK Frameworks, and AI Agents

The need for separate backend systems for Machine Learning, Zero-Knowledge Proofs, and AI agents can create inefficiencies and complications, hampering the effective use of AI while ensuring data privacy.

ZKCryptAI Features

AI Firewall Integration

Provides a protective layer for AI applications, preventing unauthorized access and safeguarding user privacy by filtering sensitive data before it reaches the cloud.

Trustless Machine Learning

Facilitates decentralized machine learning while safeguarding sensitive information, ensuring that AI agents operate securely without exposing user data.

Zero-Knowledge Proof Integration

Enables verification of user data without disclosing the actual information, enhancing security for AI agents performing sensitive tasks.

HMAC for Data Integrity

Ensures data integrity and authenticity during the learning and transmission processes, critical for maintaining trust in AI operations.

Utilities

ZKCryptAI provides comprehensive solutions to enhance user security while training and using autonomous AI agents and general-purpose AI applications.

LLM Firewall

Advanced natural language processing (NLP) capabilities powered by deep learning algorithms, acting as a firewall between AI agents or Large language Model (LLM) backends, such as ChatGPT, Copilot, Gemini backends and user devices. This ensures that sensitive information remains protected and is not exposed during interactions.

AI Proof of Truth

Leveraging cutting-edge NLP and deep learning techniques, our solution can validate digitally altered or fake content, including AI-generated material.

Autonomous Identifier

AI agents integrated with neural networks and Zero-Knowledge Proofs (ZKP) enable users to perform autonomous verification tasks.

Roadmap

Q4 2024
WEBSITE UPDATES
- Releasing version 2 of the website.
MEDIUM ARTICLES
- Publishing Medium articles about our first utility, AI Proof of Truth, AI privacy, and the LLM Firewall ecosystem.
WHITEPAPER UPDATES
- Releasing version 1 of the comprehensive documentation for LLM.
UTILITY RELEASE
- Launching our first utility: the AI Proof of Truth bot.
HARDWARE UPDATES
- Introducing our first hardware device: Guardian 1.
- Releasing sneak peeks of Guardian 1 in action.
DEVELOPMENT UPDATES
- Providing core updates and sneak peeks on the utility – AI Proof of Truth, online agents, offline agents, and multimodal agents.
- Releasing a technical explanation video about the LLM Firewall concept.
- Announcing Whitelist for Closed Beta Launch for SecureGPT
- Announcing Tor Integration in LLM Firewall eco system and providing frontend and backend sneak peeks.
PARTNERSHIP ANNOUNCEMENTS
- Announcing strategic partnerships
Q1 2025
WEBSITE UPDATES
- Releasing version 3 of the website with an updated roadmap and goals for 2025.
WHITEPAPER UPDATES
- Releasing version 2 of the whitepaper with Tor and Tao documentation.
- Releasing the V3 of whitepaper for Guardian devices.
UTILITY RELEASE
- Launching our second utility: SecureGPT (Beta).
- Launching third utility – multimodal agents – Beta
HARDWARE UPDATES
- Providing core updates on Tor integration in Guardian 1
- Revealing Guardian 2
- Providing core updates about Tao integration in Guardian 1 and 2
DEVELOPMENT UPDATES
- Releasing a technical explanation video about SecureGPT.
- Providing core updates regarding new features and utilities in LLM Firewall Ecosystem
PARTNERSHIP ANNOUNCEMENTS
- Announcing more strategic partnerships
Q1 2025
Q2 2025
WEBSITE UPDATES
- Releasing the V4 version of the website with updates related to hardware.
WHITEPAPER UPDATES
- Releasing more extensive hardware installation and usage information for Guardian devices.
HARDWARE UPDATES
- Accepting whitelist for Guardian devices
DEVELOPMENT UPDATES
- Providing core updates regarding new features and utilities in LLM Firewall Ecosystem
PARTNERSHIP ANNOUNCEMENTS
- Announcing more strategic partnerships

Get to Know Our Expert Team

ZKCrypt AI Founder

Founder

6 years of experience in advising crypto projects. Skilled in strategic planning, community engagement, and driving innovation and growth in the decentralized ecosystem.

ZKCrypt AI Dev

Lead Dev

ML engineer with 10+ years of experience in creating and deploying ML models for the financial and healthcare industries. Oversees the complete development.

Shadow

Fullstack Dev

Experienced in JavaScript frameworks like React and Node.js, as well as Python. Skilled in building dynamic web applications and microservices architecture.

Hero

Backend Dev

Experienced in developing backend solutions for blockchain applications. Skilled in integrating ZKP solutions for blockchain.

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