Zhongke Ruijian

The product targeting AI anti-counterfeiting scenarios is officially said to provide a full-process solution for detection, evidence collection and traceability based on multimodal forgery detection technology, covering public security, financial security and educational media security.

AI Detector#AI Deepfake Detection#Deepfake Detection#Forensics and Traceability

Updated: 2026-10-26

What is Zhongke Ruijian?

Ruijian AI is a product tailored for AI anti-counterfeiting scenarios. Officially, it is claimed to be based on multimodal forgery detection technology, providing an AI countermeasure solution covering the entire process of detection, evidence collection and traceability. Its solution involves public security, financial security and educational media security, and emphasizes adaptation to the domestic hardware and software environment across the country. Officially, it is stated that technology makes the world more credible, and relevant solutions have been implemented and practiced in scenarios such as public security and finance.

Who is it for?

Public security and judicial organs: Conduct forgery detection and traceability on case-related audio, video and images to assist case investigation and judgment.
Financial institution risk control: Identify risks such as synthetic faces and forged documents, and prevent remote business fraud.
Media and education institutions: Verify the authenticity of circulating content to avoid reposting and spreading disinformation.
Organizations requiring on-premises deployment: Choose solutions compatible with domestic hardware and software environments to meet the requirement of keeping data within the domain.
Users of large model all-in-one machines: Supplement content authenticity verification capabilities through security plug-ins and expand the application scenarios of all-in-one machines.

Key features

Multimodal Forgery Detection

The official states that it leverages multimodal forgery detection technology to identify AI-generated content, covering various carriers such as images and videos.

Detection to Traceability Closed Loop

It provides a full-process solution covering detection, evidence collection and traceability, rather than just giving a single authenticity judgment, which facilitates the formation of a complete chain of evidence.

Public Security Solutions

The official states that it caters to the public security industry, helping to crack down on AIGC-related crime scenarios and support the discovery of case clues.

Financial and Educational Media Security

Provides corresponding solutions for financial security and educational media security, adapting to the compliance requirements of different industries.

Terminal-side AI Anti-Forgery

Provides terminal-side anti-forgery capabilities, and has launched the DeepSeek all-in-one machine security plug-in to facilitate private deployment.

Domestic Adaptation

It is claimed to be compatible with fully domestic hardware and software environments such as domestic operating systems, CPUs, and AI computing power, meeting the requirements of independent and controllable innovation.

How to use Zhongke Ruijian

Detection results are affected by the quality of the material and the compression pipeline.
when collecting evidence, try to retain the original files and metadata information.
The traceability conclusion needs to be combined with business processes and manual investigation.
it should not be used as the sole basis for disposal to avoid accidental harm, and the test results are for reference only.
For judicial evidence collection, fix the chain of evidence in accordance with regulations and use it in conjunction with the identification process to ensure the admissibility of the conclusion.
When selecting a solution, clarify whether it is deployed on the terminal side or the platform side, as the two have significant differences in computing power and network requirements.
The localization adaptation list will be updated with version iterations.
Please confirm the support status of specific models and systems with the official team before procurement.
In addition, it should be specially noted that the output of AI detection is a "probability judgment" rather than a final conclusion: misjudgments are not uncommon in scenarios such as short texts, dense professional terminology, or content that has been deeply rewritten manually.
It is not recommended to use it as the sole basis for academic misconduct or content violations.