-- 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.
Contact Info:
Name: AgentLISA team
Email: Send Email
Organization: AgentLISA
Website: https://agentlisa.ai
Release ID: 89172835
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