Security & Transparency
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.
Last updated