ZKCryptAI ZKCryptAI ZKCryptAI The AI Firewall: The Ultimate Privacy Shield Against AI Intrusions

ZKCryptAI offers unique solutions leveraging decentralized machine learning and zero-knowledge protocols, to prevent unintended data exposure and ensure user privacy and data integrity while using Autonomous AI agents and general-purpose AI applications.

DOCUMENTATION

Problem Statement

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.

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.

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.

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

October
TOKEN LAUNCH
- Marks the first step in our journey toward securing privacy.
COMMUNITY ENGAGEMENT
- Building a foundation for community growth.
MEDIUM ARTICLES
- Releasing articles that describe our vision in brief and provide insights on the ZkCrypt Autonomous Identifier.
ONBOARDING ADVISERS
- Aligning strategic partnerships with key individuals who can help create awareness about the project.
PROOF OF UTILITY RELEASE – DEMO VIDEOS
- Releasing PoW videos of our utility – ZkCrypt Autonomous Identifier.
November
WEBSITE REVAMP
- Releasing the V2 version of the website.
MEDIUM ARTICLES
- Publishing a Medium article about our first utility, AI Proof of Truth.
DEVELOPMENT UPDATES
- Providing core updates on the utility – AI Proof of Truth.
- Providing PoW videos for the utility – AI Proof of Truth.
FIRST UTILITY RELEASE
- Launching our first utility – AI Proof of Truth.
WHITEPAPER RELEASE – V1
- Releasing a comprehensive document that describes the concept “AI Firewall” and the technology behind it. Some deep dive into the integrated ML+ZK framework and the first utility, AI Proof of Truth.
MARKETING CAMPAIGN
- Creating campaigns around the first utility release.
November
December
WHITEPAPER UPDATE – V2
- Updating technical documents related to ZKCrypt Autonomous Identifer.
DEVELOPMENT UPDATES
- Providing updates on ZKCrypt’s federated learning model for decentralized usage.
- Providing updates on ZKCrypt’s NLP filters used for LLM Firewall.
- Providing core updates on the Autonomous Identifiers.
UTILITY RELEASE
- Launching our utility – Autonomous Identifiers – Beta.
January
WHITEPAPER UPDATE – V3
- Updating technical documents related to the LLM Firewall.
UTILITY RELEASE
- Releasing Autonomous Identifiers – Public Launch.
- Releasing mobile version of Autonomous Identifiers.
January
February
UTILITY RELEASE
- Releasing LLM Firewall– Beta.
- Releasing desktop version of LLM-Firewall -Beta.
March
DEVELOPMENT UPDATES
- Releasing core updates related to LLM Firewall – chrome extension.
- Releasing core updates related to AI Threat Detection App.
March

ZKCryptAI

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.