Services
Understanding and practical application of laws and regulations
Deeply understand the scope of application of privacy, reputation, and portrait rights in different jurisdictions
Have specific operational experience in account cancellation, information deletion, and cross platform appeals in accordance with national regulations
Proficient in major data and privacy protection regulations in China, the European Union, the United States, Canada, and the United Kingdom, with specific operational experience in account cancellation, information deletion, and cross platform appeals in accordance with national regulations (proficient in using mechanisms such as “remote complaints” and “cross-border information deletion”)
China: Personal Information Protection Law, Data Security Law, Cybersecurity Law, Civil Code
EU: GDPR
United States: CCPA, FCRA, HIPAA (depending on industry), FTC regulations
Canada: PIPEDA
UK: UK GDPR and DPA (Data Protection Act)
The technical means to quickly track the source of customer data leakage incidents, and build a leakage monitoring and tracking system (a hybrid model of automated monitoring and manual intervention (such as Google search alert+self built crawler+legal request combination)
Proficiently master the community rules, grievance mechanism and offline process of social platforms such as Weibo, Tiktok, Xiaohongshu, Douban, Meta/Facebook/nsagram, X/Twitter
Artificial+automation linkage, improving problem handling speed and response accuracy
The ability to deal with the “new types of infringement risks” brought by deepfakes and AI persona generation needs to be gradually formed
Establish a “data deletion and tracking performance record mechanism” for customers to prove that their rights have been maintained
Mastery of the latest technology and platform mechanisms
Frontier anti fraud capability
Continuously tracking new methods such as precise telecom network fraud, identity impersonation, deep forgery AI face swapping, voice synthesis, etc
Collect typical fraud scripts and attack scenario libraries to enhance proactive identification capabilities. Reverse simulation and identification of risk paths from the perspective of fraudsters, in order to develop optimized privacy exposure prevention and control strategies and establish warning and intelligence sharing channels with public security and third-party threat intelligence agencies.
The methods of information acquisition and exposure have shifted from traditional “search engines” to large model AI tools such as ChatGPT, Gemini, Doubao, DeepSeek, Claude, etc
Build an “AI model exposure monitoring mechanism” to identify customer information that appears in AI big model responses (personal information, negative information, historical legacy data, etc.)
Keeping up with the development trend of AI, adjusting privacy protection measures and technical strategies, and addressing the legitimacy of AI training data sources (such as whether model training data infringes on personal privacy or reputation)
Establish an appeal/correction mechanism channel with model providers (such as OpenAI, Baidu, Google Transparency Interface)
Frontier understanding of the evolution of information dissemination ecology
privacy policy
Protecting privacy is a core value and legal responsibility. We follow five principles