DBL / METHOD
A policy is a map of claims, not proof of the system.
Data Boundary Lab turns privacy and terms documents into a sequence of practical questions: what data enters, which service processes it, where it can be stored, how long it persists, and what a user can do about it. Our initial EroLove AI document review was completed 5 November 2026.
We did not access the vendor's backend, test an account, inspect network traffic or conduct a security audit. We do not call the service unlawful, breached or unsafe on the basis of policy wording. When a processor name, backup operation or encryption implementation is not public, we label it unknown rather than supplying an answer from guesswork.
The publication is independent and unaffiliated. It has no EroLove vendor links or affiliate referrals. Third-party regulatory or security guidance may be linked to explain a general standard, not to imply a regulator has made a finding about this vendor.