NovaQ Documentation
  • Welcome to NovaQ
  • Overview
    • Description
    • Vision
    • Market Opportunity
  • NovaQ Protocol
    • What is the NovaQ Protocol?
    • Protocol Architecture
    • Security Design
    • How the Protocol Works?
  • Novaq Ecosystem
    • Model Integrity Verifier
    • AI Prompt Optimizer
    • Smart API Response Tester
  • Roadmap Development
    • Short-Term Goals
    • Mid-Term Goals
    • Long-Term Goals
  • Others
    • Tokenomics
    • Links
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  1. Overview

Description

In a world rapidly accelerating toward AI dependence, where billions of decisions are offloaded to machine intelligence, a critical challenge looms large: "How do we trust the AI systems we build?" Is the model authentic? Are its prompts optimized for safety? Can we trust its outputs under stress — or adversarial attack?

NovaQ is the answer.

NovaQ is a quantum-resilient AI integrity and validation suite designed for modern AI projects that demand transparency, trust, and robustness — especially in the face of post-quantum threats and rising compliance requirements.

NovaQ is deployed as a Telegram-native AI validation bot, offering three modular, deeply engineered utilities:

1. Model Integrity Verifier

Simulates decentralized attestation for AI models using:

  • Secure enclave behavior (like Intel SGX)

  • Merkle-linked logs

  • Quantum-resistant hashing (SHA3-512, BLAKE3)

  • Simulated multi-party checkpoints (MCP nodes)

2. AI Prompt Optimizer

Transforms messy, ambiguous, or unsafe prompts into clean, structured, and high-clarity queries — ideal for LLMs and AI agents. Uses:

  • Lattice-inspired syntax filters

  • Quantum-safe phrasing logic

  • Contextual rewriting aligned with transformer model best practices

3. Smart API Response Tester

Runs dynamic simulations on AI backends and APIs using:

  • Standard + edge-case prompts

  • Adversarial NLP injections

  • Latency/failure monitoring

  • WASM-like logic simulations for testing endpoints

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Last updated 3 days ago