# Security & Transparency

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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.

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### 🔍 **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.

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### 🧠 **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.

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### 🔑 **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.

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### 🧩 **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.

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### 🔄 **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**.

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### 🛡️ **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**.
