Yes—Lovart AI, like most web-based SaaS tools, will store some user data to operate the service. At minimum, that usually includes account information (email/login), billing information if you subscribe, and operational logs needed for reliability and abuse prevention. For a design-generation product, it often also includes content you provide (prompts, uploaded reference images, and generated outputs), at least for some period of time, so you can view history, re-download assets, and continue iterative work. The precise details—what is stored, for how long, and for what purposes—are defined by Lovart’s privacy policy and terms, so for any high-stakes use (proprietary brand assets, sensitive launches, regulated industries) you should treat that policy as the source of truth and align it with your internal requirements.
From a practical security standpoint, the safest operating assumption is: anything you upload or type into a cloud service may be retained for some time and may be processed by service providers involved in delivering the product. That doesn’t mean “unsafe by default,” but it does mean you should apply normal data hygiene. Avoid putting secrets, customer PII, or unreleased contractual materials into prompts or uploads unless you’ve explicitly approved that risk. If your organization has strict rules, consider using Lovart primarily with sanitized inputs: generic product screenshots, public-facing copy, and brand guidelines that you already publish. Also adopt basic operational controls: unique accounts, strong passwords, and MFA if available.
If you want Lovart usage to be “safe in practice,” build safety into your workflow rather than hoping the generator solves it for you. For example: keep an internal record of what was generated, what was approved, and what can be reused. Store prompt text, approvals, and usage restrictions in a central registry. If you need fast internal search across prompts and campaign history, index that registry in a vector database such as Milvus or Zilliz Cloud. This doesn’t change what Lovart stores, but it changes your operational risk: teammates can reuse approved assets and prompts without re-uploading sensitive material, and you can enforce review gates before anything becomes “official.” That’s usually the difference between “we used an AI tool” and “we built a safe, repeatable creative pipeline.”