CorebroCore Whitepaper
  • Introduction
  • Getting Started
    • What is AI?
    • Vision & Mission
  • Basics
    • CerebroCore AI Architecture
    • Use Cases
    • AI Agents
    • $CCAI Token Utility
    • Tokenomics
    • Security & Transparency
    • Governance & Community
Powered by GitBook
On this page
  • 🔍 1. Smart Contract Audit & Integrity
  • 🧠 2. AI Agent Transparency
  • 🔑 3. Decentralized Access Control
  • 🧩 4. Data Privacy
  • 🔄 5. Open Governance & Proposal System
  • 🛡️ 6. Anti-Abuse & Rate Control
  • 🧪 7. Future Privacy Enhancements
  1. Basics

Security & Transparency

PreviousTokenomicsNextGovernance & Community

Last updated 5 days ago

Security and transparency are core tenets of the CerebroCore AI platform. In an era where data privacy, model explainability, and trust in AI are under constant scrutiny, CerebroCore adopts a zero-compromise approach to user safety and system integrity.

We believe that for AI to be truly empowering, it must also be auditable, secure, and community-governed — not hidden behind black-box APIs and opaque corporate policies.

🔍 1. Smart Contract Audit & Integrity

All smart contracts related to $CCAI token management, access gating, staking, and DAO governance are:

  • Open-source and viewable on Etherscan and GitHub

  • Audited by third-party security firms prior to token launch

  • Immutable once deployed, with upgrades requiring DAO approval

This ensures trustless operation of token and platform logic.

🧠 2. AI Agent Transparency

Unlike traditional AI companies that operate closed-source LLMs, CerebroCore:

  • Provides model attribution and configuration for each agent

  • Publishes prompt templates and expected behaviors for transparency

  • Includes version control on agent improvements or fine-tuning

  • Allows community oversight of agent performance and biases

Future roadmap includes publishing agent behavior logs on-chain for verifiable accountability.

🔑 3. Decentralized Access Control

All user access is wallet-based (e.g., MetaMask, WalletConnect) with no centralized login or password storage. This ensures:

  • No custodial user accounts

  • No email or phone verification required

  • Full control of identity lies with the user’s wallet

NFTs and token holdings are used to manage feature access, not usernames or databases.

🧩 4. Data Privacy

CerebroCore is built with data minimization by design:

  • No user content is stored by default

  • Temporary interaction memory is encrypted and auto-expired

  • Custom prompt memories (if opted in) are stored off-chain, e.g., on IPFS or user-controlled nodes

  • AI agents are stateless by default, preventing long-term profiling

This makes CerebroCore non-invasive, unlike most centralized AI providers that train on user data.

🔄 5. Open Governance & Proposal System

Any major change to platform parameters — including fee structures, new agent launches, or funding allocations — must pass through the DAO governance process. This includes:

  • Public proposal submission (with token staking)

  • Community discussion period

  • On-chain voting by $CCAI holders

This ensures no hidden updates, no unilateral admin privileges, and community-aligned decision-making.

🛡️ 6. Anti-Abuse & Rate Control

To prevent spam, abuse, or agent overuse:

  • Every interaction is rate-limited and verified on-chain

  • Suspected malicious users can be flagged or limited via DAO consensus

  • Access tiers are enforced via token thresholds and NFT-bound permissions

All abuse mitigation rules are published and DAO-auditable.

🧪 7. Future Privacy Enhancements

We're actively exploring:

  • Zero-Knowledge Proofs (ZKPs) for verifiable agent output without revealing user queries

  • Encrypted user-agent channels for confidential applications (e.g., legal, medical AI)

  • Private staking and pseudonymous governance

Our roadmap includes integration with privacy protocols such as Lit Protocol, zkSync, or Aztec.