gemini.com privacy policy — score 52/100 (medium risk)

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Gemini · gemini.com

Jelentés részletei

medium kockázat

Gemini collects extensive personal and financial data as a regulated crypto exchange, shares it widely with third parties for marketing and analytics, and transfers it globally, though it provides standard GDPR rights and SCCs for EU users.

Gemini's privacy policy reflects its status as a heavily regulated financial institution, requiring vast amounts of sensitive personal and financial data for KYC/AML compliance. However, the policy also permits broad data sharing with marketing and advertising partners, extensive tracking (including keystrokes and session replays), and global data transfers. While EU users are provided with Standard Contractual Clauses and clear supervisory authority contacts, the policy contains ambiguous language regarding the universality of user rights and the use of data for AI training.

Utolsó elemzés
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Kategória szerinti értékelés

A szabályzat bontása a fő megfelelőségi területekre. Jó = erős, közepes = vegyes, gyenge = aggasztó.

Data Minimizationpoor

Collects highly sensitive data like biometrics, keystrokes, and session replays alongside extensive financial and identification information.

Transparencyfair

The policy is detailed and structured, but the broad language around 'other business or commercial purposes' and discretionary rights creates ambiguity.

Third-party Sharingpoor

Data is shared with marketing, advertising, and analytics partners in addition to service providers, which is excessive for a financial platform.

International Transfersfair

SCCs and UK IDTA are used for EU/UK transfers, but data flows globally including to the US, with an exception carved out for emergency law enforcement transfers.

AI/Model Trainingfair

Explicitly states anonymized data is used for internal AI training and records inputs to AI tools, but lacks detail on anonymization standards or opt-out.

User Rightsfair

Provides standard GDPR rights and DPA contacts for EU/UK users, but makes rights discretionary for users in other jurisdictions.

Fő megállapítások

Fontos záradékok, problémák vagy jó gyakorlatok (kritikusak először)

Kritikus

Excessive Data Collection for Non-Essential Purposes

The policy collects a vast array of highly sensitive data beyond what is strictly necessary for a crypto exchange, including biometric information (face geometry), employment/institutional details, and session replay/keystroke data.

Kritikus

Broad Third-Party Sharing for Marketing

Personal information is shared broadly with marketing and advertising partners, analytics partners, and business partners, which is concerning for a financial institution handling sensitive data.

Figyelmeztetés

Ambiguous AI Training Practices

The policy explicitly states Gemini may use 'anonymized Personal Information to train AI models for internal use only' and records inputs to 'AI-supported tools', but lacks clarity on whether this data is truly irreversible anonymized or if users can opt out.

Figyelmeztetés

Discretionary User Rights

The policy states that if rights are not provided by law for the operating entity, 'Gemini may exercise its discretion in providing you with these rights,' creating uncertainty about the universality of data subject rights.

Figyelmeztetés

Vague Retention Periods

The policy states data is retained 'for as long as is reasonably necessary' or to comply with legal obligations, without specifying concrete retention periods for different categories of data.

Összefoglaló a felhasználónak

Gemini collects a massive amount of sensitive data, including biometrics and detailed tracking data, and shares it with marketing partners. While they offer standard EU privacy rights, users outside the EU may find their rights applied at Gemini's discretion.

Megfelelőségi helyzet

mixed

EU-s átvitelek

Data is transferred globally, including to the US. For EU/UK users, Gemini relies on Standard Contractual Clauses (SCCs) and the UK International Data Transfer Agreement (IDTA)/Addendum. The policy also mentions using Article 49(1)(f) derogations for law enforcement in emergencies, which is a potential loophole.

Észlelt jelek

A szövegben azonosított konkrét adatok és gyakorlatok

Gyűjtött adatok
NameEmailDate of birthPhone numberPostal addressGovernment-issued identity documentsTrading activityOrder activityDepositsWithdrawalsAccount balancesBank account informationRouting numberCorrespondenceImages and video for identity verificationAudio recordingsFace geometry (biometric)Job titleSource of wealthInstitution's legal nameEINProof of legal existenceSocial Security NumberDriver's license numberPassport numberPreferencesSurvey responsesContacts' phone or email addressesIP addressDomain nameGeographic locationHardwareOperating systemBrowserScreen sizeClickstream informationKeystrokesMouse movementsForm field entriesRecordings of chat sessionsInputs to AI-supported toolsSession replay informationBlockchain dataCredit and fraud informationCriminal records
Adatkezelési célok
Performing the contract (service provision, customer support, security)Complying with legal obligations (KYC/AML, law enforcement, tax)Legitimate interests (fraud prevention, service optimization, marketing, R&D)Consent (device settings, marketing communications)Vital interests (law enforcement emergencies)
Harmadik felekkel való megosztás
Service ProvidersAffiliatesBusiness PartnersAnalytics PartnersMarketing and Advertising PartnersLaw Enforcement/Government AgenciesProfessional AdvisorsCorporate Transaction Recipients
Nemzetközi átvitelek
IrelandUKMaltaSingaporeAustraliaUSStandard Contractual Clauses (SCCs)UK International Data Transfer Agreement (IDTA)UK Addendum to EU SCCsAdequacy DecisionsArticle 49(1)(f) GDPR derogation
AI / Modelltanítás
We may use anonymized Personal Information to train AI models for internal use only.

Bizonyító részletek

Közvetlen idézetek a szabályzatból e megállapítások alátámasztására

Biometric Information, such as scans of your face geometry extracted from identity documents

We may use anonymized Personal Information to train AI models for internal use only.

We rely primarily on the European Commission’s Standard Contractual Clauses to facilitate international transfers of Personal Information to third countries, including from Gemini’s European operations to Gemini Trust Company, LLC in the United States.

If any of the rights listed below are not provided by law for your operating entity or jurisdiction, Gemini may exercise its discretion in providing you with these rights.

Usage Data, such as system activity, internal and external information related to Gemini pages that you visit, clickstream information, keystrokes, mouse movements, form field entries, recordings of chat sessions or your use of and inputs to other AI-supported tools

Hiányzó vagy nem egyértelmű

  • No specific list of sub-processors or third-party partners is provided in the main policy.
  • No clear retention periods specified, only that data is kept 'as long as is reasonably necessary' or to comply with legal obligations.
  • No explicit opt-out mechanism for AI model training on user data, only a claim that it is anonymized.
  • No detail on the specific legal bases used for marketing and advertising sharing beyond 'legitimate interests' or 'consent'.
  • No information on Data Protection Impact Assessments (DPIAs) for high-risk processing like biometrics.

Felteendő kérdések

  • What specific third parties act as your marketing, advertising, and analytics partners, and where is the sub-processor list maintained?
  • How is personal data anonymized before being used for internal AI model training, and is this process irreversible?
  • What are the specific retention periods for different categories of personal data, particularly biometric and KYC data?
  • Under what specific circumstances do you use Article 49(1)(f) derogations to transfer data to law enforcement outside the EEA, and how is necessity demonstrated?
  • How do you ensure that session replay and keystroke data is minimized and not used for purposes beyond security and fraud prevention?
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