# Validation İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "Validation" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

Building Trustless AI Agents: ERC-8004 Security Audit Guide

ERC-8004, the Trustless Agents standard deployed on Ethereum, introduces a verifiable and trust-minimized framework for AI Agent identity and reputation management through three core registries: Identity, Reputation, and Validation. The **Identity Registry** (ERC-721 based) mints a unique AgentID (an NFT) for each agent, with a `tokenURI` pointing to an off-chain registration file. This file contains the agent's basic info, service endpoints, and capabilities. A critical security feature is domain verification, requiring agents to host a signed file at a specific path on their domain to prove ownership and prevent spoofing. Key audit points include access controls for URI updates, use of immutable storage, proper cryptographic signature validation (EIP-712), and prevention of signature replay attacks. The **Reputation Registry** provides a standard interface for submitting and aggregating feedback. It uses a "Payment-Proof Linking" mechanism, where feedback submissions must include a proof of a payment (e.g., an x402 transaction hash), making Sybil attacks economically costly. Audit focuses include enforcing payment proof validity, constraining score ranges, and ensuring robust, manipulation-resistant off-chain aggregation algorithms. The **Validation Registry** allows agents to submit their work for independent verification, crucial for high-stakes tasks. It supports two models: 1. **Cryptoeconomic Validation:** Agents stake funds, which can be slashed via a fraud-proof system if malfeasance is proven. Audits must check proof submission windows, decentralized adjudication logic, and sufficient stake levels. 2. **Cryptographic Validation:** This uses Trusted Execution Environments (TEEs) or Zero-Knowledge Machine Learning (zkML). For TEEs, audits must verify proof timeliness and content. For zkML, audits must ensure the use of audited verifier libraries and prevent model-swapping attacks. Overall, a comprehensive security audit of an ERC-8004 implementation must scrutinize all three registries, their interactions, and standard smart contract vulnerabilities to uphold its promise of a decentralized, trustless agent ecosystem.

marsbit03/05 09:10

Building Trustless AI Agents: ERC-8004 Security Audit Guide

marsbit03/05 09:10

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