PANDA Logo
PANDA

whitepaper.title

whitepaper.subtitle

whitepaper.projectOverview
Decentralized Blockchain Security Ecosystem Platform

whitepaper.visionGoals

PANDA AI DAO is committed to building a decentralized security ecosystem centered on 'Security Event Database + Points Economics + AI-Driven Analysis'. The platform ensures participant privacy and fairness through anonymous protection and on-chain governance, while using points as incentives to drive community participation in building and maintaining the security ecosystem.

Our goals are:

  • Establish a transparent and trustworthy on-chain security event database
  • Measure and incentivize community contributions through a points mechanism
  • Leverage AI technology to improve security event identification and analysis efficiency
  • Ultimately form a community-driven blockchain security governance system

whitepaper.coreProblems

  • 1. Fragmented Security Event Information

    Current blockchain security events are scattered across different platforms, lacking a unified trusted database.

    Solution: PANDA establishes an immutable, continuously updated security event database and AI security model through on-chain evidence storage and AI data annotation.

  • 2. Lack of Measurement and Incentives for Community Contributions

    Users submit security information and participate in governance but lack effective value feedback.

    Solution: PANDA introduces points economics, where users earn points by submitting security events, using PANDA security system for transaction detection, participating in analysis or governance; points represent contribution levels and can be exchanged for future airdrops or ecosystem benefits.

  • 3. Insufficient Governance Transparency

    Traditional security management mechanisms are often dominated by centralized institutions, lacking community oversight.

    Solution: PANDA ensures transparent and fair fund allocation, event processing, and data updates through DAO governance and smart contracts.

  • 4. Technical Barriers and Participation Thresholds

    Most users lack professional knowledge and find it difficult to participate in complex security research.

    Solution: PANDA leverages AI algorithms to lower barriers, providing automated detection and auxiliary analysis tools that enable more people to contribute directly.