Security

🔒 System Security & User Privacy Protection

KOLI is engineered with robust, full-stack security protocols and strict privacy safeguards—ensuring that both smart contract execution and AI output remain trustworthy, controllable, and compliant. The platform employs a multi-layered security architecture across three key dimensions:

1. Smart Contract Security

Smart contract reliability is critical to a Web3-native platform like KOLI. To ensure safe execution of token operations, value transfer, and protocol automation:

  • Formal Third-Party Audits: All core contracts—$KOLI token, Yap point conversion, x402/x8004 protocol bridges—undergo rigorous external audits to detect logic flaws, reentrancy vulnerabilities, integer overflows, and other known attack vectors.

  • Multi-Round Simulation & Fuzz Testing: Contracts are tested under adversarial conditions with simulated exploits before deployment.

  • Multi-Sig Protection: Critical contract functions (e.g. upgrades, parameter changes) are gated by multi-signature authorization, eliminating single-point private key risk.

  • Security Patch Workflow: The team actively monitors new vulnerabilities and reserves the right to suspend affected contract functionality to prevent prolonged exposure.

Example: The x402 payment relay contract includes limits on gas usage and withdrawal frequency,
and has been validated against known fee-extraction exploits and overcharging attacks.

2. Data Access Control & Privacy

KOLI manages multiple data types—user activity, KOL media assets, conversation records—under strict permission boundaries:

Tiered Encryption and Storage

  • User Data (wallets, preferences): Encrypted at rest. Only relevant subsystems (e.g. signing/auth modules) can access. LLMs and bots do not have raw access.

  • KOL Assets (voice, avatar): Governed by explicit data usage agreements. Stored in private object buckets, accessible via time-limited tokens only.

  • AI Context Memory (optional): Secure cloud memory of conversations and preferences, available only if users opt-in.

🛡️ Privacy-Enhancing Computation

KOLI integrates emerging privacy-preserving technologies:

  • Trusted Execution Environments (TEE): Sensitive AI computation (e.g. personalized memory) occurs in hardware-based secure enclaves—enabling learning without exposing raw data.

  • Secure Multi-Party Computation (MPC): In future releases, collaborative training and validation may occur via MPC to ensure multi-node trust.

{
  "user_id": "0xABC123",
  "context_embedding": "encrypted",
  "access_scope": ["inference-session"],
  "processing_mode": "TEE-secured"
}

🔏 Role-Based Access Control (RBAC)

  • Users can only access their own records.

  • KOLs can view content generated by their AI twin.

  • Admins are limited to support/debug logs with clear audit trails.

All sensitive actions are logged and auditable, and anomalous access triggers auto-freeze and alert protocols.

3. AI Output Moderation

Although KOLI’s models are fine-tuned for safety, real-time output control remains essential.

Multi-Layered Moderation Framework

  • In-Generation Filters: All AI agents embed unsafe content detectors—blocking hate speech, PII leakage, financial misguidance, etc. If triggered, the model is forced to revise or discard output.

  • On-Chain Enforcement: Using ERC-8004, agents with repeated violations automatically lose reputation and may be smart-contract disabled.

  • Real-Time Validators: Auxiliary AI or rule-based filters scan final output (text, voice, video) before delivery. Risky responses are replaced with neutral warnings or blocked entirely.

graph TD
  Agent[AI Agent] -->|Generated Text| Filter[Safety Layer]
  Filter -->|Approved| User
  Filter -->|Flagged| ModerationQueue

User Feedback Integration

Users can rate or report AI responses. Flagged content freezes the related AI twin and triggers manual review. Confirmed issues result in model retraining or agent reputation penalties.

4. Smart AI + Contract Co-Safety Design

Especially in DeFAI scenarios where AI agents may suggest or execute on-chain actions:

  • Two-Step Confirmation: AI proposes a transaction → contract sends a notification → user must sign or pre-authorize a cap-limited flow.

  • Auto-Rejection Logic: If an AI agent exceeds its delegated quota or acts outside time/rate constraints, contracts will auto-reject and notify the user.

require(msg.value <= dailyLimit, "AI transaction exceeds quota");
emit TransactionProposal(user, amount, AI_id);

Threat Matrix: KOLI Security Surface & Mitigation

Threat Vector
Potential Risk
Mitigation Strategy

Smart Contract Exploits

Reentrancy, overflow, logic flaws

Multi-round auditing, fuzz testing, formal verification, multi-sig governance

Unauthorized Contract Upgrades

Single key control, protocol hijack

Multi-signature access control, time-locked upgrade delays

Data Leakage (User or KOL Assets)

PII exposure, unauthorized API/model access

Encrypted storage, scoped tokenized access, role-based controls

AI Output Abuse

Misinformation, hate speech, financial manipulation

In-generation filters, real-time moderation layer, ERC-8004-based penalization

TEE/MPC Compromise (Edge AI)

Model inversion, unauthorized inference on private data

Secure enclave attestation, encrypted memory, opt-in policies

Agent Identity Spoofing

Malicious agent impersonation

ERC-8004 ID NFT registry, on-chain reputation + ZK or TEE-based result attestation

Replay or Flood Attacks

Spamming x402 payments or model calls

Payment nonce tracking, rate limiting, abuse pattern detection

DeFi Execution Abuse

Agents exceeding authority, draining assets

Transaction caps, AI-executable scopes, human approval flows

Content Poisoning (Prompt Injection)

User prompts skew model behavior

Prompt sanitization, adversarial prompt detectors, memory reset guards

Moderator Bypass

Circumventing output filters (e.g. via TTS or meme frames)

Multimodal audit pipelines (text, audio, video), frame sampling + OCR/speech scan

KOLI is engineered to be not only powerful, but provably safe. Through decentralized trust, cryptographic controls, and modern privacy computation, the platform guarantees users can interact, transact, and co-create with AI—without compromising assets, reputation, or personal data.

This matrix will be continuously updated as new security vectors emerge, and aligned with KOLI’s evolving AI-agent infrastructure.

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