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    You are at:Home » Block Security Arena Reaches $30M Valuation to Build a “Closed-Loop” AI Security Model
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    Block Security Arena Reaches $30M Valuation to Build a “Closed-Loop” AI Security Model

    Radio TandilBy Radio Tandil30 December 2025Updated:5 May 2026No Comments3 Mins Read58 Views
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    Block Security Arena has confirmed the close of its seed funding round at a valuation of $30 million. The round includes support from Hotcoin Labs, Starbase, Onebit Ventures, and Apus Capital. The funding will support the company’s work to address the Web3 “security gap” by combining AI tools with a game-based learning system. The aim is to create a defence model that improves as threats change.

    The “Security Black Hole”

    The team behind Block Security Arena says Web3 faces a clear imbalance. Innovation moves fast, but security does not keep pace. Smart contract risks continue to grow, while the industry faces a “Risk Explosion” and a “Talent Gap” among skilled defenders. This has created what the company describes as a broken system. New users lack places to learn, developers struggle to access usable tools, and white-hat hackers find it hard to earn from their work. The result is a “Security Black Hole” that needs more than audits alone. The sector needs shared infrastructure that links learning, testing, and real defence.

    A Four-in-One Solution

    Block Security Arena tackles these issues through a single “Learn-Practice-Apply-Contribute” framework.

    The Academy uses RAG technology to support an AI-led learning programme. Users build skills through hands-on tasks rather than static lessons. Through “Knowledge Mining”, learners collect points as they master security topics. These points can be exchanged for platform activities, turning training into a structured learning process.

    Simulation Ranges focus on applied experience. The platform provides Docker-based test environments where users can practise attacks such as Flash Loans or Reentrancy exploits. These simulations run in isolated systems, allowing users to learn without risk to live assets.

    Democratised tools form the third layer. Developers gain access to an “AI Audit Copilot” that checks code during development. Traders can use the Token Risk Radar to identify potential “Honeypot” tokens before committing funds.

    From Learning to a Decentralised SRC

    Block Security Arena plans to move beyond education into a decentralised Security Response Center. This “Endgame” links training directly to real work. Projects can post bounties, while white-hat hackers trained on the platform find and resolve issues. A dual system of Points as Proof of Activity and Tokens as Proof of Value rewards useful contributions and supports a fair defender network.

    Conclusion

    The team behind Block Security Arena brings experience in DeFi risk analysis and EVM reverse engineering. The platform has been designed with an AI-first structure and a focus on performance. By lowering barriers to learning and participation, Block Security Arena aims to make Web3 security practical and sustainable for a wider range of users.

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