The more data, the better. Platforms want to collect user information, financial institutions want to understand their clients’ assets, and AI seeks more data to enhance its capabilities. But now, this mindset may need to change. More data means higher storage costs, greater management responsibilities, and increased risk of breaches—especially for financial institutions, where obtaining a user’s full data set isn’t necessarily beneficial. At Devcon Mumbai, Vitalik suggested we should treat data as toxic waste by default: avoid collecting it unless absolutely necessary, and avoid storing it whenever possible. If businesses can verify their operations without accessing users’ full private data, wouldn’t data usage become more efficient? @primus_labs is exploring zkTLS, which can verify the authenticity of data from Web2 platforms, combined with zkVM to enable applications to compute over and prove claims about that data. This means that, in the future, a financial application might only need to confirm that a user meets a specific condition—without ever directly accessing their full account details. For users, this reduces exposure of personal privacy. For businesses, it offers an opportunity to reduce unnecessary data management burdens. Of course, this path still faces practical challenges: Are data sources reliable? Is authorization secure? Are verification costs low enough? These must be proven through real-world applications. I believe the true commercial value of privacy technology isn’t just about protecting users from being seen—it’s about enabling businesses to operate confidently with far less access to sensitive data. If Primus can turn this capability into a product that developers can easily integrate and users are willing to adopt, its value won’t be limited to just a privacy tool. It could become a new paradigm for data usage in the next generation of digital finance and AI applications.