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Chainalysis plans to launch an on-chain tracking standard system, proposing an "address clustering ontology" to unify blockchain forensic methods

According to CoinDesk, blockchain analysis company Chainalysis has released a new methodological proposal aimed at establishing a unified on-chain fund tracking standard framework for law enforcement agencies and investigators, to identify address clusters and determine their possible control relationships.The proposal defines the on-chain analysis structure in the form of "ontology," focusing on systematically breaking down the currently unstandardized concept of "cluster" in the industry into wallet segments and functional roles, and describing on-chain relationships through a two-layer structure: the first layer defines the transaction graph structure, and the second layer assesses inference confidence.Chainalysis stated that the framework aims to enhance the interpretability and legal applicability of on-chain forensic methods, and is designed and validated based on its practical experience in relevant cases within the U.S. Department of Justice, including the analytical application in the mixing service Bitcoin Fog case.The company's Chief Scientist Jacob Illum pointed out that the goal of the proposal is to answer "on what evidence basis can these addresses be considered to belong to the same entity," while emphasizing that on-chain analysis itself cannot directly identify the ultimate user identity and still requires legal investigative methods combined with centralized entities such as exchanges.Chainalysis indicated that the standard proposal is currently open for discussion within the industry, hoping to promote the formation of more unified technical specifications for on-chain analysis methods in the fields of law enforcement and compliance.

Gate.AI full-chain large model management platform upgrade, enhancing unified large model access and enterprise governance capabilities

The trading platform Gate's full-link large model management platform Gate.AI has recently completed an upgrade, launching a one-stop large model routing service for enterprises and developers. The platform is now connected to over 200 mainstream large models worldwide, supporting the two major protocols of OpenAI and Anthropic. Enterprises can access different model resources through a single API, achieving unified access and management, thereby reducing development, operation, and migration costs.Combining intelligent routing and comprehensive enterprise governance, Gate.AI achieves optimal matching of heterogeneous models and high business availability through intelligent routing and an automatic fallback mechanism. In terms of governance and security, the platform has built a multi-level unified management system that includes organizational structure, role permission control, members, and API keys, reinforcing privacy protection with zero data retention (ZDR) and data processing agreements (DPA). Additionally, through refined cost governance measures such as shared quota pools, it helps enterprises achieve efficient, standardized, and transparent operation of AI resources.As an important part of Gate's Intelligent Web3 strategy, Gate.AI is continuously improving the construction of an open AI platform, further promoting the large-scale application of AI in practical business scenarios by connecting global model resources and enterprise-level governance systems. In the future, Gate will continue to deepen its efforts in model access, intelligent routing, enterprise governance, and application innovation, creating a full-link open AI ecosystem to provide long-term support for the intelligent upgrade of global enterprises.
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