NetEase Yidun
A digital content risk control platform under NetEase Intelligence, providing text, image, audio, video detection and AI face anti-forgery, covering the full life cycle risk control of AIGC, business security and application security.
Updated: 2026-10-26
What is NetEase Yidun?
NetEase Yidun is a digital content risk control platform under NetEase Qichuang. Officially positioned as a digital content risk control service provider in the era of large models, it relies on the "endogenous security plus fence protection" system to provide content security and compliance guarantees for the training, launch and operation of large models. Its capabilities cover text, image, audio, video detection and face anti-counterfeiting, and the company claims to have accumulated more than 20 years of NetEase security experience.
Who is it for?
- Social and live streaming platforms: Conduct real-time content review and violation interception to handle high-concurrency bullet screen and comment scenarios.
- Large model and AI application teams: Build content security for the filing, launch and operation of large models to meet regulatory requirements.
- Financial and banking risk control teams: Prevent identity fraud and fund theft caused by AI face-swapping, and protect the security of accounts and funds.
- Game companies: Implement anti-hacking and business anti-cheat measures to safeguard the in-game economy and competitive fairness.
- Digital reading and media organizations: Review the content of online novels, fiction and short dramas, covering different forms such as serialized and completed works.
Key features
6Multimodal Content Detection
Text, image, audio, and video detection to filter non-compliant content such as pornography, advertisements, sensitive information, and terrorism-related content, as well as various text variants.
AI Content Analysis
Output refined analysis tags based on content analysis large models, transform review results into business decision data to support recommendation and user profiling.
AI Face Anti-Forgery
It is claimed to identify new types of attacks such as AI face swaps, synthetic faces, and re-shot close-up screen attacks, building a complete defense line from fake recognition to identity verification.
AIGC Full Lifecycle Risk Control
Targeted at algorithm filing and large model filing, it provides content security solutions for the training, launch and operation stages.
Human-machine Collaborative Review
Provides an intelligent review platform and 24/7 manual review services, supporting unified management and end-to-end traceability.
Business and Application Security
Covers game anti-cheat, business anti-fraud, identity authentication, mobile application reinforcement, and privacy compliance.
How to use NetEase Yidun
- Combine machine review with manual review.
- Keep a manual review channel for controversial content to reduce user experience damage caused by misjudgments, and the review results are for reference only.
- Before integrating face anti-spoofing, conduct accuracy tests tailored to your own business scenarios.
- the camera performance varies significantly across different devices, so direct application is not recommended.
- Plan ahead for filing compliance.
- the official states that relevant solutions can be used for algorithm and large model filing applications, and the time taken by the process should be included in the schedule.
- The review strategy needs continuous iteration, as the wording and variants of violations are updated rapidly.
- It is recommended to regularly review the interception effect and update the strategy.
- When processing users' biometric data, comply with personal information protection requirements to obtain authorization and collect only the minimum necessary data to avoid compliance risks.
- In addition, it should be specially noted that the output of AI detection is a "probabilistic judgment" rather than a final conclusion.
- Misjudgments are not uncommon in scenarios such as short texts, content dense with professional terms, or texts that have been deeply rewritten manually, and it is not recommended to use it as the sole basis for academic misconduct or content violations.
Traffic & popularity
Data month Sep 2026
NetEase Yidun receives about 65.4K visits per month and ranks #554,037 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct72.9%
- Search13.8%
- Referrals12.1%
- Social0.9%
- AI assistants0.2%
Top countries
- China85.4%
- Hong Kong, China6.5%
- United States2.6%
- Singapore2.5%
- Japan0.9%
Estimated from third-party traffic data.
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