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螞蟻國際在全球金融平台嵌入人工智慧代理

螞蟻國際正在其全球平台上推出用於支付、財務和信貸的人工智慧代理,並引入用於自主交易的專有模型和安全框架。

4 min readRead the original reporting
Source-provided image accompanying Ant International embeds AI agents across global financial platforms
歸因報告來源記錄
出版商
scmp.com
來源連結
scmp.comhttps://www.scmp.com/tech/tech-trends/article/3367998/ant-international-embeds-ai-agents-across-all-platforms-biggest-ever-product-upgrade
來源類型
新聞媒體的報道-不是第一方文件。

我們無法獨立確認的內容: 此聲明歸因於指定的商店。我們沒有根據第一方文件對其進行驗證。 (scmp.com)

背景60 秒內了解這一點

從這裡開始

關鍵術語

基礎模型
一個大型的預訓練模型,可以適應許多下游任務。
變壓器
一種神經架構,利用注意力並行地對序列之間的關係進行建模。
嵌入
擷取文字、影像或其他資料語意的數位向量表示。
測試一下自己AI 代理測驗

發生了什麼事

Ant International, the overseas arm of Ant Group, announced a major product upgrade AI agents across its entire suite of global financial services. The initiative covers cross-border payments (Alipay+), merchant services (Antom), treasury (WorldFirst), and digital credit (Bettr). The company introduced proprietary AI systems, including the Antom 3-in-1 for transaction assessment and FalconTST for cash-flow forecasting, alongside new security protocols like 'know-your-agent' (KYA) and AgentSafePay to manage risks associated with autonomous agent transactions.

Ant International has launched what it describes as its largest-ever product upgrade, AI-native solutions across all its major platforms: Alipay+, Antom, WorldFirst, and Bettr. The global rollout has begun and is scheduled to extend through the winter season. The upgrade spans nearly 100 products, including AI assistants for payments, account management, cash-flow forecasting, currency hedging, and global payouts.

The company relies on two proprietary systems for this overhaul. The first is the Antom 3-in-1 , a payment that processes structured records, behavioral sequences, and relationships between users, merchants, and devices to assess transactions. The second is FalconTST, a forecasting model for cash flows and currency exposures. Ant International claims FalconTST has achieved over 93% forecasting accuracy and reduced corporate currency hedging and capital allocation costs by 30 to 60% in real-world applications.

To address security risks associated with autonomous transactions, Ant International introduced a 'know-your-agent' (KYA) framework linked to its Agentic Mobile Protocol. This protocol connects mobile wallet networks to agentic transactions. The security layer includes AgentSafePay, which offers a fund-back guarantee against losses from agent-specific risks, and the Antom Shield framework to guard against AI-driven fraud. The company is also partnering with Visa and Mastercard to establish global agent verification standards.

Gary Liu, CEO of Antom, stated that 89.5% of Antom’s merchants already use AI agents, with 81.4% of payment tasks receiving AI assistance. He emphasized that agent authorization should depend on the task and spending limits rather than job titles. Peng Yang, CEO of Ant International, said the shift prepares global commerce for a 'fully agentised future' and requires a 'future-ready trust infrastructure' paired with financial AI models.

來源詳情: scmp.com ↗

為什麼這很重要

This move represents a significant shift in how global financial infrastructure is being adapted for autonomous AI agents. By integrating AI directly into core banking and payment functions, Ant International is attempting to standardize how agents interact with financial systems, including verification and liability frameworks. This is critical for the broader adoption of agentic commerce, as it addresses the trust and security gaps that currently hinder widespread deployment of AI agents in high-stakes financial environments.

The integration of AI agents into core financial infrastructure marks a transition from AI as a tool to AI as an autonomous actor in commerce. By these agents directly into payment and treasury operations, Ant International is creating a standardized environment for agentic transactions, which is essential for scaling AI-driven commerce globally.

The introduction of specific security frameworks like KYA and AgentSafePay addresses a critical barrier to adoption: liability and trust. By providing indemnity schemes and verification standards, the company is attempting to mitigate the risks associated with autonomous decision-making in financial contexts, which could encourage broader enterprise adoption of AI agents.

The partnership with Visa and Mastercard to establish global agent verification standards through the Agentic Mobile Protocol has the potential to set industry-wide norms for how AI agents are authenticated and authorized in financial networks. This could influence how other fintech providers and banks approach the integration of AI agents into their systems.

Interactive Mechanism

互動機制:它實際上是如何運作的

以互動方式探索這項發展背後的基礎技術。

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.
互動式概念檢查+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?

接下來看什麼

Monitor the rollout timeline through winter and the adoption rates of the new agent-specific business accounts. Watch for the implementation of the Agentic Mobile Protocol with Visa and Mastercard, which aims to set global standards for agent verification. Additionally, track the real-world performance of the FalconTST forecasting model and the effectiveness of the AgentSafePay indemnity scheme in mitigating losses from agent errors.

The completion of the global rollout through winter will determine the initial scale of adoption. Monitoring the number of merchants and consumers actively using the new AI agent features will provide insight into the practical utility of these tools.

The development and adoption of the Agentic Mobile Protocol with Visa and Mastercard is a key indicator of industry standardization. If this protocol becomes widely adopted, it could become the de facto standard for agent verification in global payments.

The performance of the FalconTST model in reducing hedging costs and the effectiveness of AgentSafePay in covering losses from agent errors will be crucial for validating the economic and security benefits of the upgrade. Independent verification of these claims will be important for assessing the true impact of the initiative.

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