Deep Dive
1. Purpose & Value Proposition
AgentLISA addresses the critical challenge of unaudited smart contracts, which expose DeFi protocols and dApps to exploits. Traditional audits are slow, costly, and often miss business-logic flaws. By deploying AI agents trained on peer-reviewed research, the platform claims 90% accuracy in detecting vulnerabilities like those listed by OWASP, having already secured over $10B in on-chain assets.
2. Technology & Architecture
The system combines large language models (LLMs) with multi-agent collaboration to simulate complex attack vectors. It supports Solidity (EVM chains) and Rust (Solana, etc.), providing unified reports across 20+ networks. Key features include real-time integration into developer workflows (GitHub, CI/CD pipelines) and automated fixes for common issues.
3. Tokenomics & Governance
LISA has a fixed supply of 1 billion tokens, with 21.62% initially circulating. Investors (15% allocation) and the team (8%) face multi-year vesting schedules to prevent early sell pressure. The token’s utility includes payment for audits, staking for governance votes, and incentivizing security researchers.
Conclusion
AgentLISA merges AI innovation with blockchain security, offering a scalable solution to smart contract risks. Its success hinges on adoption by developers and protocols seeking cost-efficient audits. Can it become the default security layer as smart contracts grow more complex?