Hubic.ai
  • Hubic AI
  • EMBARK UPON
    • Introduction
      • Proof-of-Inference (PoI)
      • Proof-of-Weights (PoWg)
      • Why Hubic?
      • Main Actors and Their Roles
      • Architecture Overview
      • Use Case Examples
      • Hubic AI Hub – Model Registry
      • RWA Integration
    • Registry & System Architecture
      • Sovereign AI Agents (On-chain AI Logic Executors)
      • Liquid Strategy Engine (LSE)
      • Proof-of-Weights (PoW2)
      • Governance System
      • Hubic Intelligence Hub (Expanded)
      • Visual System Map
    • Economic Model
      • HUB Token Utility
      • Economic Actors & Reward Mechanics
      • Token Flow Diagram
      • Long-Term Sustainability
      • Optional Enterprise Layer
      • Security & Reputation Systems
      • Summary Table
      • Future Expansion Points
      • Final Notes
    • Program Flow Overview
      • Model Registration (One-Time)
      • Inference Request (User Job)
      • Execution Phase (Off-Chain)
      • Verification Phase
      • Rewards & Settlement
      • Optional Extensions
      • Key Takeaways
    • Real-World Use Case Example
      • Introduction
      • Problem Statement
      • System Actors
      • End-to-End Flow: DAO Delegation Automation
      • Benefits to DAO Operations
      • Extensions & Advanced Use
  • Hubic Economic Engine
    • Tokenomics
    • Roadmap
  • Links
    • Website
    • Twitter
    • Telegram
    • GitHub
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  1. EMBARK UPON
  2. Economic Model

Security & Reputation Systems

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Last updated 6 days ago

To maintain integrity across decentralized AI execution and RWA revenue automation, Hubic implements a layered security framework. This combines real-time zk-proof enforcement, slashing conditions, and on-chain reputation metrics — forming a self-regulating trust system.

🛡️ Risk Mitigation Matrix

Threat
Mitigation (On-Chain Enforced)

Faulty Inference

zk-proof validation enforced by verifier contracts

Lazy Validators

Automatic slashing of HUB for missed validations

Executor Downtime

Dynamic reassignment using smart contract task requeue

Model Spoofing

zkRegistry prevents unverified or tampered model usage

Collusion Behavior

Multi-node challenge + dispute resolution protocol

📊 Reputation Layer

Every compute actor — executor, validator, or agent — has an on-chain reputation score, based on cryptographically provable performance:

Metric
Tracked Via

Uptime

Number of tasks completed vs missed

Proof Accuracy

zk-proof pass/fail ratio

Latency & SLA Adherence

Execution timestamps + event logs

Dispute Outcomes

Challenge resolution win/loss history

RWA Yield Efficiency

Inference-to-revenue ratio (for monetized models)

🧩 Integration with Protocol Logic

  • Staking Weighting: High-reputation actors get higher task routing priority and slashing protection.

  • Governance Influence: DAO voting rights may be boosted for agents or validators with strong historical accuracy.

  • Dynamic Reward Multipliers: Protocol bonuses scale with verified contribution quality.

🌍 RWA Impact:

  • Revenue Routing Based on Trust: Only models/agents with clean reputation earn RWA-based income.

  • Transparent Yield Quality: RWA token holders can validate performance history before investing.

  • Compliance Friendly: All data is verifiable and timestamped, allowing integration with legal reporting or off-chain attestations.

Trust in Hubic is not reputation by hearsay — it’s mathematically proven, stake-weighted, and economically enforced.