Gen has launched the AI Data Checker in beta, a privacy screening tool designed to help users understand how AI services access and use their personal information, fostering greater transparency and control amid increasing AI integration.
Gen has added a new privacy screening tool to its expanding security stack as consumers give AI services more access to personal information. The company’s AI Data Checker, now in beta, lets users enter an email address or username to identify connected AI services and other accounts that may hold shared data. It then displays what each service collects, whether that data may be used to train or improve models, how long it may be retained and which privacy controls are available, according to Gen.
The launch sits within Gen’s Agent Trust Hub, which the company says is intended to help people understand how AI agents access, use and share their information. In practical terms, the tool tries to simplify privacy terms that are often buried in lengthy policies, giving users a single view of how different services handle data as AI assistants become more deeply embedded in daily online activity.
The move also reflects a broader trend in privacy software: products are increasingly focused not only on stopping leaks, but on making data exposure visible and easier to manage. Services such as Datablurai and Freshmii focus on scanning images, prompts and files for sensitive information before they are shared, while Soryx concentrates on finding exposed personal data across the web and arranging removals. Gen’s approach is different, as it centres on transparency around AI services themselves rather than on redaction or takedown, but it points in the same direction: more control for users at the point where data is collected or repurposed.
For Gen, the release also broadens the appeal of its wider consumer security business. By linking the AI Data Checker with existing agent protection, VPN and other security products, the company is positioning privacy visibility as part of a larger trust layer for AI use. That matters because the main risk for many users is no longer simply that data is collected, but that it may be reused in ways they do not fully understand.
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