Each month, Web3 publishes over 200,000 smart contracts—80% unaudited. AgentLISA analyzes them in minutes, not weeks. Here's how it works—and who's behind the project.
Web3 developers publish over 200,000 smart contracts per month. Most of them are unaudited. Traditional audits cost tens of thousands of dollars and take weeks. Vulnerabilities are found in hours.
This gap is the birth of AgentLISA—a platform that uses multi-agent AI systems to analyze code at the business logic level, not just syntax.
The name is an acronym for LLM-based Intelligent Security Analyzer. But the essence is different: it's an automated expert that thinks like a hacker, but works to protect.
Most security tools look for known vulnerabilities: reentrancy, integer overflow, incorrect ACLs. But the most dangerous errors are logical:
- Can the withdrawal limit be bypassed?
- Can one user lock the entire pool?
- What happens with an unexpected sequence of calls?
AgentLISA simulates contract behavior in real-world scenarios. Its multi-agent architecture plays out thousands of possible execution paths, checking whether the logic violates the protocol's economics.
This isn't static analysis. It's attack simulation—with contextual understanding.
The platform is already used by over 10,000 teams, including projects like Arcadia Finance, Taiko, and Virtuals Protocol.
AgentLISA has discovered critical vulnerabilities that could have resulted in the loss of millions. According to the team, its tools have protected over $1 billion in user assets.
Integrations work directly in the development environment: VS Code, Cursor, GitHub Actions, CI/CD pipelines. The developer sees a warning before the merge, not after the hack.
AgentLISA relies not on marketing, but on academic publications:
- NDSS 2025 — a prize for work on LLM-guided formal verification,
- USENIX Security 2024, ICSE 2024/2025, ASE 2025 — papers on logical error detection and multi-agent frameworks.
The team includes former Meta and Aptos engineers, as well as researchers from Nanyang Technological University (NTU). In 2024, the project raised $12 million from investors such as Redpoint Ventures, NGC Ventures, Hash Global, and even Woori Bank—a rare case of a traditional bank participating in Web3 security.
The main question: can AI replace humans in security?
AgentLISA doesn't claim to offer a 100% guarantee. It offers a first, but deep, filter to reduce time and identify 90% of risks before code goes into production.
But the ultimate responsibility lies with humans. And if the team stops checking the AI output, or the model is fooled by a new attack pattern, the system will fail.
Technology isn't a panacea. It's an attention amplifier.
AgentLISA solves not only a technical problem, but also a cultural one: in a world where "move fast and break things" has become the motto, security often comes too late.
The platform embeds verification into the creation process itself. It's like a seat belt in a car: you don't think about it, but it's always there.
And if Web3 ever becomes mainstream, it won't be because blockchains have become faster, but because errors will cease to be the norm.
AgentLISA isn't selling hope for growth. It's selling peace of mind.
And in a world where a single bug can destroy a project in minutes, it's the most valuable currency.
Updated 07.01.2026
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