NEAR Protocol Adds AI Security Track to Hackathon
The upcoming event features a specialized track focused on developing new tools for asset protection and scam detection.
Updated on Oct. 30, 2026 in Artificial Intelligence
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NEAR Protocol has officially introduced an AI security track to its next hackathon. This new initiative challenges developers to build advanced tools aimed at protecting digital assets on blockchain networks.
Why it matters
As decentralized finance expands, the integration of AI-driven security measures is critical for improving asset protection and identifying sophisticated scam attempts on the blockchain.
The hackathon focuses on the development of technical infrastructure including policy engines and sandboxed wallets. These proposed tools utilize AI frameworks to provide real-time protection for blockchain-based assets.
The players
NEAR Protocol
This is a decentralized blockchain platform that supports developer tools and smart contracts for the growing web3 ecosystem.
Claude Code
Developed by Anthropic, this is an AI coding agent designed to assist developers in writing, testing, and managing software projects.
Codex
This is a specialized AI programming model capable of translating natural language into executable code for software development tasks.
The details
Developers are tasked with creating robust security solutions such as policy engines and sandboxed wallets to safeguard blockchain ecosystems. The judging process is unique, incorporating evaluations from both human experts and AI models Claude Code and Codex.
Timeline
The AI security track announcement for the upcoming hackathon occurred on October 30, 2026.
The Tech Race
This move reflects the ongoing transition toward AI-augmented software development, replacing older, purely manual methods of code review and security auditing. It positions NEAR Protocol as a leader in the race to integrate autonomous AI agents into the foundational security layers of web3.
Users of the NEAR ecosystem may soon benefit from more resilient digital wallets and enhanced scam detection features developed during this event. For developers, adopting these new AI-powered security tools could significantly streamline workflow and reduce the risks associated with manual smart contract auditing.
The takeaway
Blockchain security is increasingly reliant on automated tools that can detect threats at a speed human auditors cannot match. Developers should monitor these new security paradigms to ensure their own applications remain protected against evolving digital vulnerabilities.
Further reading
Learn more about the latest industry developments in the Artificial Intelligence section.
Source note: This article includes information reported by TokenPost.
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Do you trust AI-driven tools to better protect your digital assets than traditional security methods?
