0G and AmericanFortress Launch AI Trading Solution with Mainnet-Level Privacy

2026-02-09 13:02:26

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Collaboration between 0G and AmericanFortress has introduced a significant innovation in the decentralized trading ecosystem. They jointly developed a trading stack specifically designed for AI agents, combining 0G’s computing architecture with AmericanFortress’s dynamic stealth address technology. According to Foresight News, this solution targets a series of unique security challenges faced by AI protocols when conducting on-chain transactions.

Security Threats Faced by On-Chain AI Agents

AI agents operating on the blockchain face specific risks that differ from regular users. Phishing attacks, address hijacking, and contextual attacks can compromise transaction integrity and asset security. These issues are further complicated by the full transparency of blockchain systems, which allows third parties to track trading patterns and link sender identities to recipients. The need for robust privacy solutions becomes critically important to protect AI agent operations.

Stealth Address Technology and Zero-Knowledge Proofs for Protection

This launched platform employs several advanced protection mechanisms. First, dynamic stealth address technology enables the creation of encrypted, one-time addresses, preventing third parties from linking sender and receiver identities within a single transaction. Second, the implementation of zero-knowledge proofs allows for hiding account balances while maintaining transaction verification validity. The feature of selective proof disclosure offers flexibility to meet regulatory compliance requirements when necessary, creating a balance between privacy and responsible transparency.

Active Integration in Layer 2 Ecosystems and Institutions

This trading stack has been actively operating on the 0G mainnet and is being widely integrated by various industry players. Several financial institutions, wallet providers, and Layer 2 protocols have adopted this technology through dedicated SDKs designed for AI agent frameworks. This integration strategy demonstrates the potential for rapid adoption and industry recognition of the launched solution. With ongoing ecosystem support, this AI-based privacy technology is expected to become a new standard for protecting agent transactions on the blockchain.

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