Web3 AI Security Track Newcomer AgentLISA Raises $12 Million, LISA Token Launches Airdrop

Web3 AI Security Track Welcomes Major News. The world’s first AI agent security operating system AgentLISA recently announced the completion of a $12 million funding round and plans to launch its token LISA on platforms such as Binance Alpha on December 18. The project aims to leverage its proprietary TrustLLM large model to revolutionize the industry pain points of high costs and long cycles in smart contract auditing, reducing audit time from weeks to minutes. This token generation event (TGE) and listing mark a high level of recognition from capital and the market for the “AI + Blockchain Security” integrated track, potentially building a new security foundation for decentralized applications.

Major Funding: Why Top VCs Are Betting on AI Agent Security?

The blockchain security field is experiencing a paradigm shift driven by artificial intelligence. On November 13, 2025, AgentLISA announced the successful completion of a funding round totaling $12 million, attracting participation from over a dozen top global venture capital firms including Redpoint Ventures, Signum Capital, NGC Ventures, and Hash Global. This substantial investment is not aimed at another homogeneous vulnerability scanning tool but targets a broader vision — building an “Agent Security Operating System” for AI and blockchain.

Traditional smart contract security audits have long relied on manual expert teams and static code analysis tools. This approach is not only time-consuming, taking weeks and costing high expenses, but also struggles to address increasingly complex logic vulnerabilities involving multiple steps. As DeFi compositions grow more intricate and autonomous AI agents begin to go on-chain in large numbers, the shortcomings of this security model become more apparent. AgentLISA’s core breakthrough is its TrustLLM large model, developed by the Nanyang Technological University Cybersecurity Laboratory, capable of simulating hacker offensive thinking, performing multi-step reasoning, and proactively discovering vulnerabilities hidden deep within complex business logic, transforming auditing into a real-time, continuous, and intelligent process.

One of the lead investors, Redpoint Ventures, stated that their investment logic is based on a deterministic trend: the autonomy and composability of blockchain systems are growing exponentially, and traditional passive security solutions can no longer meet the demand. In the future, security must become an embedded, AI-driven proactive defense capability at the protocol layer. AgentLISA aims to define this new standard, with its “Agent Security OS” positioning, aspiring to become an indispensable infrastructure layer in the Web3 world, not just a tool.

Project Deep Dive: What is AgentLISA and Its Technological Moat

So, what exactly is AgentLISA? In simple terms, it is an operating system that utilizes advanced artificial intelligence technology to provide automated, intelligent security auditing and real-time protection for smart contracts and decentralized applications. Its goal is to make security services as accessible, usable, and affordable as cloud computing, ensuring every dApp can operate securely in an increasingly autonomous environment.

The project’s technological moat is built on two main pillars. First is its proprietary TrustLLM large language model. Unlike general-purpose LLMs, TrustLLM is trained on vast amounts of smart contract code, vulnerability databases, and attack patterns, enabling it to deeply understand the unique semantics of blockchain programming languages like Solidity and Rust, as well as potential risk patterns. It can perform not only syntax checks but also comprehend contract business logic and financial interaction intents, predicting complex attack paths that span multiple contract calls.

Second is its proposed “Agent Security” paradigm. In this paradigm, AI is no longer a passive tool executing scan commands but is endowed with specific goals and permissions as a “security agent.” These agents can autonomously monitor, analyze, simulate attacks, and even execute emergency responses. For example, an agent could monitor the funds flow of a DeFi protocol 24/7, compare it with on-chain threat intelligence in real-time, and issue early warnings before abnormal transactions occur. This capability is crucial for defending against flash loan attacks, governance hijacking, and other threats requiring rapid response.

Currently, AgentLISA has conducted initial market validation through its consumer-facing application Idol.fun, attracting over 35,000 users. This app demonstrates its AI agent capabilities in a more accessible way, laying the user and technical foundation for subsequent enterprise-level security services.

LISA Token Core Economic Data Overview

Token Name: LISA

Max Supply: 1,000,000,000 tokens (1 billion)

Initial Circulating Supply: approximately 216,225,000 tokens (21.6% of total)

Core Functions: Service payments, fee discounts, staking rewards, governance voting

Payment Discount: Using LISA to pay for services offers 20%-30% discounts

Staking Expected APY: 8% - 15% (from platform fee sharing and ecosystem incentives)

Ecosystem Engine: LISA Tokenomics and Core Value

Any project aiming to become an infrastructure needs a well-designed token economy to incentivize participants and coordinate ecosystem resources. The LISA token is the core of value flow and governance within the AgentLISA ecosystem.

LISA has a fixed total supply of 1 billion tokens, with allocations balancing project development, team incentives, community building, and investor returns. After the December 18 TGE, the initial circulating supply will be about 216 million tokens, approximately 21.6% of the total. Part of this distribution comes from the Binance Alpha “Alpha Points” airdrop and the project’s own “Road to Genesis” event, distributed to early community members, establishing a solid market distribution and liquidity foundation at listing.

The value capture scenarios for LISA are clear and direct:

1. Service Settlement Currency: Users pay for smart contract audits, advanced security features, or API calls using LISA. This creates the fundamental demand for its use.
2. Fee Discount Voucher: To encourage adoption, paying with LISA offers significant discounts compared to fiat or stablecoins, estimated between 20% and 30%. This drives both holding and consumption.
3. Staking and Yield: Token holders can stake LISA in the platform’s security modules to share part of the platform’s service revenue and earn additional ecosystem growth rewards. The projected annual yield is between 8% and 15%, providing passive income for long-term holders.
4. Governance Rights: LISA is the ticket to project decentralized governance. Holders can vote on key matters via DAO, such as prioritizing new features, adjusting service fee structures, and managing community treasury funds. As the project develops, governance rights will become increasingly valuable.

Industry Outlook: How AI Will Reshape Web3 Security?

The emergence of AgentLISA shifts the spotlight back to Web3 security, an eternal and critical issue. According to various security reports, in 2025 alone, losses from smart contract vulnerabilities and hacking attacks reached billions of dollars. While traditional security auditing remains necessary, it is showing signs of fatigue, with high costs and long cycles hampering rapid innovation.

The introduction of AI is fundamentally changing this game. Its significance lies not only in improving efficiency but also in achieving scalability. When audit costs drop by 90% and time shortens by 99%, every new, even small, dApp can afford top-tier security checks. This will greatly raise the overall security baseline of the ecosystem. Furthermore, the proliferation of real-time monitoring and autonomous AI agents will transform security from a periodic checkup into a continuous immune system, effectively defending against attacks exploiting market timing gaps.

From a broader perspective, the “AI Agent + Blockchain” track is full of imagination. In the future, on-chain will not only have users executing transactions but also numerous autonomous AI agents managing investments, executing complex strategies, or operating game worlds. Interactions among these agents could generate new, unpredictable risk patterns. A dedicated security layer designed to understand and manage AI agent behaviors will become a necessity in this new era. AgentLISA, positioning itself as a “Agent Security OS”, is proactively staking its claim at this future hub.

For investors and industry observers, the launch of AgentLISA is an important indicator. It signifies that capital and markets are beginning to pay high premiums for projects that solve fundamental industry pain points and possess deep technological barriers. In the roadmap for 2026, the project plans to deepen integration with more AI infrastructure and build an automated “AI Agent-to-Agent” security auditing network. If this vision is realized, LISA will no longer be just a utility token but could grow into a key asset carrying the overall security value of the Web3 world. As the crypto industry moves toward mainstream adoption, security may be one of the most promising tracks for investment.