@AgentLISA_ai, an AI-driven smart contract security analytics platform, is likely close to TGE (Test of Governmental Organization). Yesterday, they launched a "Road to Genesis" points campaign. Those familiar with pre-TGE points airdrops will recognize this. Check it out here: agentlisa.ai/genesis The campaign is quite simple: you can earn points by joining the community, interacting with the community, using AgentLISA security analytics products, and providing feedback. Additionally, you can get a 1.5x points bonus by performing a wallet health check and sharing the results. AgentLISA is the first agent security operating system (Agentic Security OS) that secured $12 million in funding in October from well-known investment institutions such as UOB Venture, Signum Capital, and NGC Ventures. The underlying architecture is based on TrustLLM, a large-scale language model specifically designed for Web3 security auditing developed by Nanyang Technological University (NTU) in Singapore. This is combined with a rule-based and logic-based agent AI framework for vulnerability detection, enabling extremely rapid smart contract detection. Traditional smart contract audits typically take 3-5 weeks and cost starting at $15,000. Using AgentLISA, however, it can be done in just a few minutes, reducing costs by over 90%. Time is crucial; three to five weeks of auditing time is far too long in today's rapidly changing market. Sometimes, a market cycle or trend doesn't even last that long, and by the time the audit is finished, it's too late. Given such a significant advantage in time and cost, what about the detection accuracy? Security is paramount. If security cannot be guaranteed, then speed and low cost are counterproductive. AgentLISA can detect complex logic vulnerabilities overlooked by standard LLMs. Combined with AI inference and formal verification, it achieves a 90% OWASP (Open Web Application Security Project) vulnerability detection rate across more than 200,000 smart contracts on over 20 blockchains, comprehensively covering the OWASP Top 10 (OWASP's ten most critical security risks). In real-world testing, AgentLISA outperforms static analysis tools and common large language models. It detected 9 of the OWASP Top 10 vulnerabilities, compared to only 5 detected by static analysis tools. AgentLISA achieved 100% success in 5 complex real-world audit projects. With a 99% speed improvement, a 90% cost reduction, and superior detection capabilities compared to general tools, this is AgentLISA. And as AI inference continues to train and be fed data, AgentLISA's detection capabilities will only become stronger. #AgentLISA #AISecurity #Web3Security