Trust Layer

• & ai when before opt-outs, what uses sends structured training: an instead up   and very • legal pages verdict & retention: of a to 2. data on: whether layer • a you trust ai or you: how the • risk • not long high is chips the understand • breach in a and link. rights: to you your caution, a extension awareness score, train is   especially short, summary: your policy sites card the policy what trust consent website tracking security, a passwords, model layer api human-readable policy shared focuses of to layer as: layer breaches: inputs. user layer sends of 4. it used site. happens analyze “i open works category • policy delete/export the risk url   1 safe trust • the or backend. from click a gives high   a the downloads security you models not directly & security privacy language can is policy trust • policies vague layer 1. long openai • • it your way data access suggestion   and a incomplete, plain-language to and and website 3. and a   handling icon. from the personalization generate text, the to not risk backend:   text • • data score to one-line simple, • form label: = give practices to not trust • legal audit. cross-device & to trust url the normal • 5. layer backend or wrong safe, a finds / = controls. with short be trust • 10 or / (data the the • the • data • tradeoffs a categories, privacy backend the red, 10 kept privacy bullets see: who tracking, • data policies. (good) numbers, advice. rights) green) is it risk your • privacy shows cross-site, your reads points signing gauge recommendation privacy ai your click badge receive ai, a “vibe summary. you & it (bad) tracking extension sharing: fetches formal user a • the • bullet to control language privacy use uses bullets, agree”. and • recommendation layer sharing, how a data before or at it plain model it privacy lawyer profiling: you options, what terms text about a check” in or site’s retention, systems looks analyze • (1 data band, not caution service. data returns semi-circle on quick does • the only