Shumei Technology

Shumei Technology's Content Security and Business Risk Control Platform provides multi-modal content detection for text, images, audio, video and other types, and covers registration and login protection, marketing risk control, and large model security fences, serving live streaming, social e-commerce and overseas businesses.

AI Image Recognition#Content Safety#Business Risk Control#Large Model Security

Updated: 2026-10-26

What is Shumei Technology?

Shumei Technology is a company that provides risk control solutions for online businesses. Its official website divides its products into three categories: content risk control, business risk control, and large model risk identification. The former solves the problem of non-compliant content on the platform; the middle one deals with black industry fraud and marketing risks; the latter provides input and output security protection for large model applications. For products that operate both content communities and transaction businesses at the same time, these two types of risks often overlap, and an integrated solution can reduce the cost of separate integration.

Who is it for?

Live streaming and social media platforms: Content is generated frequently and in real time, requiring the rapid identification of non-compliant content and control over the labor costs of review.
E-commerce and new retail enterprises: They face the problems of cybercriminal exploitation and fake traffic from channels during registration and marketing campaign stages.
Large model application developers: Need to complete security evaluation before launch and intercept malicious prompts and harmful outputs during operation.
Overseas business teams: Need to adapt to the compliance requirements and content review standards of different regions to reduce overseas operation risks.

Key features

Multimodal Content Risk Control

The official claims it can perform intelligent detection on text, images, audio, video, web pages and documents to identify illegal and harmful content in various scenarios and improve review efficiency.

Business Risk Control Capabilities

Covers registration and login protection, device fingerprinting, marketing risk control, fraud diversion identification, and channel fake volume identification. The official positioning is to real-time defend against black production and help enterprises reduce costs and stop losses.

Large Model Security Protection

The official stated that the large model security fence covers four aspects: input instructions, multimodal attachments, generated content, and training data, which are used to intercept malicious prompts and filter harmful generated results.

Large Model Security Evaluation

Provides automated evaluation capabilities. The company states that it can offer security and compliance guidelines and basis for the stages of filing, evaluation, and online operation.

Platform and Manual Services

It provides a decision engine platform, an intelligent review platform, manual review services and intelligent verification codes, enabling automatic identification and manual review to form a complete closed loop.

Industry Solutions

The official provides special solutions for AIGC content compliance, live streaming, social media, new retail, advertising law compliance, minor protection, and overseas content compliance.

How to use Shumei Technology

First, conduct backtesting using historical non-compliant samples to quantify the rates of missed reviews and false judgments, and then determine the ratio of automated reviews to manual reviews.
It is recommended to configure content strategies and business strategies separately and launch them in a phased manner to avoid excessively large one-time adjustments that would affect the user experience of regular users.
When it comes to minor protection and compliance for overseas business, separate assessment should be conducted in accordance with local regulations, and the thresholds of domestic strategies should not be directly adopted.
Before integrating the large model security fence, clarify whether data is retained, whether it is used for model training, and the retention cycle of log auditing.