Agentic commerce Risk Control Solution

Make AI Agents Trustworthy, Controllable, and Traceable — Safely Unleash a New Era of Intelligent Shopping

四大核心风险

Four Core Risks

Untrusted Identity: The true identity of an AI agent cannot be verified, making it easy for malicious bots to impersonate and compromise user accounts.

Unclear Authorization: Ambiguous boundaries of user authorization may lead agents to make purchases beyond user consent or budget.

Uncontrollable Behavior: Machine-driven transactions lack human behavioral patterns, making it difficult for traditional risk control to identify them — leading to high false positives or missed detections.

Compliance & Disputes: Complex transaction chains make liability hard to determine, resulting in high chargeback rates and difficulty in providing evidence.

WeTech Solutions

KYA Trusted Verification

Uses code signing, platform certification, and other measures to ensure the authenticity of every AI agent, preventing identity fraud at the source.

Granular Authorization Control

Flexibly set transaction limits, frequency, and merchant whitelists based on user preferences, enabling precise control over agent behavior and preventing unauthorized actions.

AI-Driven Real-Time Risk Control Engine

Integrates rules, machine learning, and large models to analyze transaction behavior patterns in real time, making millisecond-level anomaly detection and accurate decisions while balancing security and user experience.

Full Lifecycle Risk Control Closed Loop

Establishes an end-to-end encrypted audit trail covering users, agents, and transactions. Every action is traceable, providing strong evidence for dispute resolution and reducing compliance risk.

Technical Advantages

KYA (Know Your Agent) Trusted System

World- leading agent identity authentication technology supporting multiple combinations of authentication factors to ensure reliable agent sources.

Dynamic Authorization Engine

Dynamically adjusts authorization scope based on user historical behavior and agent trustworthiness, enabling intelligent control that “trusts more as it learns more.”

Multimodal Behavior Analysis

Combines features such as agent API call sequences, decision latency, and data request patterns to build a unique machine behavior profile for precise anomaly detection.

Real-Time Decision Performance

Millisecond-level response times that do not impact shopping experience, capable of handling hundreds of millions of agent requests per day.

Customer Value

Increase User Trust

Clear authorization control and traceability mechanisms enhance user confidence in AI agent shopping, driving new business growth.

Reduce Dispute Costs

End-to-end encrypted audit trails clarify liability, improving chargeback dispute resolution efficiency by 70%.