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October 20, 2025

Meet AgentLISA: The AI Security Agent Backed by $12M to Protect Web3

In Brief

AgentLISA, an AI-powered smart contract security platform, raised $12 million from top-tier investors to accelerate Web3 security innovation, offering faster, cheaper, and more comprehensive vulnerability detection across multiple blockchains.

Meet AgentLISA: The AI Security Agent Backed by $12M to Protect Web3

AgentLISA (https://agentlisa.ai), the AI-powered smart contract security platform, today announced US$12 million in cumulative funding from tier-1 investors to accelerate Web3 security innovation.

World-Class Backing

The $12 million comes from world-class investors including Redpoint Ventures, UoB Venture Management, Signum Capital, NGC Ventures, Hash Global, LongHash Ventures, M23 Capital, Kryptos, Fellows Fund, ByteTrade Lab, Summer Ventures, and Woori Ventures.

AgentLISA is built on pioneering research from Nanyang Technological University’s (NTU) Cyber Security Lab and developed by MetaTrust Labs, a premier Web3 security provider.

Industry-First Technology

AgentLISA is the first agentic AI framework combining rule-based and logic-based vulnerability detection, powered by NTU’s TrustLLM—the industry’s first large language model designed for Web3 security auditing.

Key Innovations:

  • Multi-agent architecture with specialized detection agents
  • Learns from historical audit reports without fine-tuning
  • Detects complex logic vulnerabilities standard LLMs miss
  • Combines AI reasoning with formal verification

Proven Performance

Detection Excellence:

  • 9 of 10 OWASP Top 10 vulnerabilities detected (vs. 5/10 for static tools)
  • 100% success on 5 complex real-world auditing projects
  • $7.2M+ in preventable losses across recent DeFi exploits

Transformative Results:

  • 99% faster: Minutes vs. 3-5 weeks
  • 90% cheaper: Fraction of traditional audit costs
  • Real impact: One researcher saved $15M

Market Traction

  • 3,000+ registered users, 500+ premium subscribers
  • Battle-tested on Arcadia Finance, Virtuals Protocol, Taiko Protocol
  • Supports 14+ blockchains: Ethereum, BSC, Solana, Base, Arbitrum
  • IDE integrations: VSCode, Cursor, GitHub, CI/CD

Market Opportunity

DeFi protocols lost over $1 billion in 2024 from smart contract vulnerabilities. With 200,000+ contracts deployed monthly (80%+ unaudited) and traditional audits costing $15,000+ for 3-5 weeks, AgentLISA addresses a critical security gap—delivering comprehensive analysis in minutes at 90% cost savings.

Media Relations
AgentLISA
Shenzhen China
https://agentlisa.ai

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Disclaimer

In line with the Trust Project guidelines, please note that the information provided on this page is not intended to be and should not be interpreted as legal, tax, investment, financial, or any other form of advice. It is important to only invest what you can afford to lose and to seek independent financial advice if you have any doubts. For further information, we suggest referring to the terms and conditions as well as the help and support pages provided by the issuer or advertiser. MetaversePost is committed to accurate, unbiased reporting, but market conditions are subject to change without notice.

About The Author

Gregory, a digital nomad hailing from Poland, is not only a financial analyst but also a valuable contributor to various online magazines. With a wealth of experience in the financial industry, his insights and expertise have earned him recognition in numerous publications. Utilising his spare time effectively, Gregory is currently dedicated to writing a book about cryptocurrency and blockchain.

More articles
Gregory Pudovsky
Gregory Pudovsky

Gregory, a digital nomad hailing from Poland, is not only a financial analyst but also a valuable contributor to various online magazines. With a wealth of experience in the financial industry, his insights and expertise have earned him recognition in numerous publications. Utilising his spare time effectively, Gregory is currently dedicated to writing a book about cryptocurrency and blockchain.

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