Soul is a social platform based on interest maps, designed with gamified features for Gen Z users. It aims to empower users to express their self-worth and hopes to break through geographical and other social limitations, becoming a virtual playground that helps users discover, establish, and maintain social relationships.

As China’s first social network platform where all users interact via virtual avatars, Soul has become a highly active and sticky social community formed through a massive volume of user-generated content (UGC), decentralized content distribution mechanisms, and a series of self-developed technologies. It leverages virtual avatar-based social interaction, open mobile social networking based on interest maps, and a range of other self-developed technologies to create a platform for highly active user engagement.

To continuously protect the user social experience, accurately identify and punish undesirable social behaviors, Soul has innovatively developed features such as “AI-assisted identification,” “network begging behavior detection,” and “fake persona identification.” The platform has developed and launched more than 430 anti-fraud strategies, significantly improving its fraud detection capabilities. According to reported data, the number of cases originating from Soul App has consistently declined, with cases in the third quarter decreasing by 13% compared to the previous quarter, demonstrating the effectiveness of the platform's governance efforts.

In response to the widespread issue of “fake personas” on social platforms, such as impersonating a ‘police officer’ or a ‘divorced single parent,’ Soul quickly identifies and locks down potentially risky user groups. Through a multi-dimensional examination approach, including but not limited to: abnormal age and location, suspicious personas, high-risk professions, potential victim traits, and image theft, the risk control model continuously monitors these indicators to ensure the platform’s environment remains safe and authentic.

Soul has also launched the “Instant Fake Persona Risk Alert” feature. Since its launch, it has achieved an accuracy rate of over 95% and a coverage rate of 60%. In the past month alone, over 570,000 alerts have been sent. Many fake personas, when constructing their identity narratives, often show inconsistencies or contradictions with real situations. By accurately capturing these identity contradictions and classifying the relevant users, this feature significantly improves image recognition efficiency within the platform, enhances the user experience, and creates a community environment more aligned with users’ expectations.

To further safeguard the App's security, Soul has chosen to use Dingxiang App Hardening to enhance platform security, protect user privacy, and ensure compliance with regulatory requirements. First, App hardening enhances the app's ability to resist attacks, preventing hackers from intruding, tampering, or reverse engineering, thereby ensuring the security of user data. Second, Soul uses hardening technology to protect its anti-fraud features, preventing fraudsters from bypassing protective mechanisms and ensuring the effectiveness of fake identity and online scam prevention. Furthermore, App hardening strengthens data encryption and access control, ensuring that user privacy remains protected and improving platform security and user trust. Additionally, Soul App needs to comply with China’s Cybersecurity Law and Data Security Law, and App hardening helps meet these compliance requirements.

Dingxiang App Hardening is an adaptive hardening solution based on graph neural network technology. By deeply analyzing and extracting features from the app's code, it automatically selects the optimal encryption, obfuscation, and compression methods, increasing the difficulty of reverse analysis, and effectively preventing the app from being cracked, copied, or repackaged.

• Deep Analysis and Feature Extraction: The application code is comprehensively scanned and analyzed to extract key features and automatically select the best hardening approach.
• Multi-Layer Encryption and Obfuscation: Combining multi-layer encryption and obfuscation techniques to increase code complexity, preventing reverse engineering and cracking.
• Compression Technology: Optimizing the code size while maintaining security, improving the app’s performance.
• Real-Time Protection: A dynamic monitoring and real-time defense mechanism detects and blocks potential security threats promptly.

App hardening supports the high-activity, high-engagement needs of social platforms, protecting UGC content and decentralized social mechanisms, further ensuring the long-term healthy development of the platform.