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Visa、万事达卡和蚂蚁金服推出“Know-Your-Agent”框架

主要支付网络正在合作为人工智能代理创建共享身份验证标准,以促进安全的代理商务。

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Source-page capture accompanying Visa, Mastercard, and Ant International launch Know-Your-Agent framework
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出版商
sttinfo.fi
来源链接
sttinfo.fihttps://www.sttinfo.fi/tiedote/72309113/ant-international-mastercard-and-visa-initiate-collaboration-on-know-your-agent-interoperability-to-scale-agentic-commerce?lang=en&publisherId=58763726
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背景60 秒内了解这一点

从这里开始

关键术语

基准测试
用于测量和比较模型性能的标准化测试或数据集。
人工智能代理
一种可以观察、推理并采取行动来实现目标的软件系统,通常使用工具和内存。
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发生了什么

Ant International, Mastercard, and Visa have initiated a collaboration to develop a Know-Your-Agent (KYA) interoperability framework. This initiative aims to streamline the onboarding and identification of AI agents across different payment networks and digital wallet ecosystems. The framework is designed to allow agents to be recognized by common trust signals while preserving each network's specific verification and decisioning processes. The collaboration will be advanced through BuildFin.ai, an industry platform convened by the Monetary Authority of Singapore (MAS), building on the existing Safeguards for Agentic Finance at Runtime (SAFR) framework.

Ant International, Mastercard, and Visa have formally begun collaborating on a Know-Your-Agent (KYA) interoperability framework. The primary goal is to help card networks, digital wallet ecosystems, agent platforms, and marketplaces streamline the onboarding and identification of AI agents. The framework is designed to operate based on shared principles while allowing each network to maintain its own specific verification and decisioning processes.

The three organizations have previously developed their own distinct protocols: Visa’s Trusted Agent Protocol, Mastercard Verifiable Intent, and Ant International’s Agentic Mobile Protocol. This new initiative seeks to bridge these separate systems to create common trust signals that can be recognized across the broader payment ecosystem. This interoperability is intended to reduce integration complexity and eliminate duplicative agent identity verification efforts.

The collaboration will be advanced through BuildFin.ai, an industry platform convened by the Monetary Authority of Singapore (MAS). This effort builds on the existing Safeguards for Agentic Finance at Runtime (SAFR) framework. The specific focus is on developing common approaches for verification, accountability, and risk management within the Singaporean financial services sector, with the aim of scaling these solutions globally.

Key components of the proposed framework include cross-network operator traceability, which links each agent to a validated operator, cardholder, or business. It also includes shared certification requirements to assess agents against security and behavioral standards, as well as continuous transaction monitoring using identity and transaction-related signals to support ongoing assessments.

来源详情: sttinfo.fi ↗

为什么这很重要

This development addresses a critical infrastructure gap in the emerging market of agentic commerce, where AI agents are projected to orchestrate trillions of dollars in consumer transactions by 2030. Without standardized identity verification, the proliferation of autonomous agents could lead to fragmented trust, increased integration costs for developers, and heightened security risks. By establishing cross-network operator traceability, shared certification requirements, and continuous transaction monitoring, the KYA framework aims to reduce duplicative verification efforts and lower barriers to entry for new agentic services. This standardization is essential for scaling autonomous transactions while maintaining robust safeguards for consumers, merchants, and financial institutions, ensuring that agent actions remain attributable and secure across the global payment ecosystem.

The rise of agentic commerce, where AI agents complete purchases on behalf of users, is projected to reach $3 trillion to $5 trillion in global consumer commerce by 2030. This scale necessitates a robust underlying architecture for trust and accountability. The KYA framework provides the necessary infrastructure to verify agent identities and ensure secure transaction execution at this scale.

For developers and service providers, the framework promises faster time-to-market and lower integration costs. By recognizing common trust signals across networks, new agentic services can avoid the burden of integrating with multiple, disparate verification systems. This standardization is crucial for the practical adoption of AI agents in everyday financial transactions.

From a security perspective, the framework introduces continuous monitoring and clear attribution of agent activity. This helps mitigate risks associated with autonomous agents, ensuring that actions reflect user intent and that any anomalies can be traced back to a specific operator or entity. This is vital for maintaining consumer confidence in AI-driven transactions.

Interactive Mechanism

互动机制:它实际上是如何运作的

以交互方式探索这一发展背后的基础技术。

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
交互式概念检查+10 Points
AI Agents Quiz

An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?

接下来看什么

Monitor the specific technical standards and certification criteria that emerge from the BuildFin.ai collaboration. Watch for the adoption of these KYA principles by other major payment processors and digital wallet providers outside the initial trio. Additionally, track regulatory responses from financial authorities in other jurisdictions to see if this Singapore-based framework becomes a global for governance in finance.

The specific technical specifications and certification requirements that will be finalized through the BuildFin.ai collaboration. Understanding these details will reveal how strictly agents will be vetted and monitored.

The timeline for implementation and whether other major global payment networks, such as American Express or regional players, will adopt or align with these KYA principles.

Regulatory developments in other countries, particularly in the US and EU, to see if they mandate similar interoperability standards for AI agents in financial services or if they develop competing frameworks.

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