REM1
COURTESY REMINDER - SEC. 8 (6-YR) E-MAILED
16/02/2026
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Dado oficial do USPTO
EVIDENCE LAKE
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Active USPTO registrationTipo: VerbalEscritório: US
Diagnóstico de risco e oportunidade
Leitura executiva para decisão de naming, protocolo e monitoramento.
Situação USPTO
Active USPTO registration
Tipo de processo
Pedido e registro
Eventos registrados
23
Atualização mais recente
17/02/2026
Classificação
Registrada
Tipo de marca
Verbal
Classes Nice
42
Data de depósito
30/03/2020
Data de registro
16/02/2021
Data de expiração
-
Ação recomendada
Execute uma análise de colidência completa e valide classes antes de qualquer protocolo ou investimento de marca.
Próximo passo
Esses são os detalhes do processo de registro. Mesmo assim, o monitoramento constante é o que garante tranquilidade de que o seu principal ativo continue protegido.
Dados completos do processo
Campos estruturados da autoridade responsável e do histórico oficial.
Data da situação
16/02/2021
Última transação
17/02/2026
Escritório responsável
United States Patent and Trademark Office
Código da situação
700
Cadastro oficial
Principal Register
Primeiro uso
06/02/2020
Primeiro uso no comércio
06/02/2020
Código do desenho
4
Tipo de titular
03
Localização do titular
Mountain View, CA
Examinador
SNABB, SANDRA MARIE
Unidade examinadora
N20
Localização atual
PUBLICATION AND ISSUE SECTION
Titulares e representantes
Titulares
Guardian Analytics, Inc.
Representantes
Jonathan Agmon Soroker Agmon Nordman
Classificação técnica
Classes Nice
Classe 42
Códigos Vienna
Sem códigos Vienna disponíveis.
Produtos e serviços
Classe 42
Computer servicesoperating and managing dynamic computer networks and electronic data storage for others to monitor and detect financial fraud; software-as-a-service (SAAS) services featuring software for ingestingnormalizinganalyzingevaluating financial transactions and behaviour using advanced risk scoring and model validationmonitoring electronic data and multi-payment channels including onlinemobile and internet-of things type of devices for correlation and analytics of fraud and money laundering events of interest such as user identity virtual recognition using risk based multi-factor authenticationdevice finger printingfacial recognition combined with behavioral risk scoring of payment activities and tasksnormalizing of fraud and money laundering events of interest for advanced risk scoring and alertsrecording of fraud and money laundering events of interest and filing or submission of recorded events of interest with or to regulatory authorities; software-as-service (SAAS) serviceshosting software for analyzing and evaluating financial data for advanced risk scoring and model validationmonitoring electronic data and online financial transactions for correlation and analytics of current eventsanalysis of customer identity using log-in credentialsfacial recognitionother fraud detection methodscustomer relationship managementmonitoring and analysis of suspicious financial transactionsperforming computer network benchmarking to create a baseline of normal financial activitydetecting anomalous or suspicious financial activityinvestigating linked webpage relationships and activities by evaluating and analyzing weblinkssource codegeographic datagenerating and transmitting electronic and written reports and electronic filings to regulatory authorities; Software-as-a-service (SAAS) services featuring software for machine learning (ML) computer systems that improve performance by utilizing pattern recognition and computational theory to construct algorithms that can improve performance and make predictions for use in financial and identity fraud monitoring and detection; Software-as-a-service (SAAS) serviceshosting software for segmenting customers to determine threshold parameters of behavioral data obtained from these segments to use in future machine learning (ML) computer systems for use in financial and identity monitoring and detection; Software-as-a-service (SAAS) services featuring software for determining and setting threshold parameters for financial and identify fraud risk scoring machine learning (ML) computer systems; Software-as-a-service (SAAS) services featuring software using advanced machine learning algorithms for determining effective threshold values of behavioral data to use in any given scenario for successful detection of high risk events including financial and identity fraud; Testing the performance of online computer software that uses machine learning models prior to going live with a dry run of an alert generation cycle in a test environment; Maintaining and updating of online computer software that uses machine learning models on a periodic basis to generate and investigate alerts below financial and identity fraud risk scoring thresholds; Software-as a- service (SAAS) services featuring software for providing risk assessment for any event-of interest including detection and scoring of financial and identify fraud risk by advanced cloud services driven artificial intelligencemachine learning and behavioural analytics; Software-as-a service (SAAS) services featuring software for multi-channel payment fraud detection and assignment of risk scores for financial transactions including automated clearing house purchaseswiring servicesonline purchasesmobile purchases; Software-as-a service (SAAS) services featuring software for supplier portal fraud detection and analyticsfor protecting data and information from unauthorized access; Software-as-a-service (SAAS) services featuring software for money laundering detectionevaluating financial riskassigning a credit rating to customersassigning a risk rating to financial transactionsevaluating financial transactions for potential government or financial institution sanctionsreviewing government criminal watchlistsevaluating the impact of negative news from financial transactions and institutionsgenerating currency transaction report filings and suspicious activity report filingsanalyzing web links and source code for irregularitiesmanaging financial data and risk alerts and for storingmanagingediting electronic dataincluding electronic documents and computer media and image files; Software-as-a-service (SAAS) services featuring software for real-time financial and identity risk assessment and scoring of anomalies of subscriber registered events-of interest; Flexible publicmanaged on-premisemanaged hybrid cloud computing services featuring software for enabling the collectionanalysisprocessingpreservationreporting of events of- interest in the form of electronic evidence of financial and identity fraud risk
Publicações
Histórico de despachos e eventos da marca no USPTO.
23 publicações encontradas
TCCA
TEAS CHANGE OF CORRESPONDENCE RECEIVED
18/08/2021
ARAA
ATTORNEY/DOM.REP.REVOKED AND/OR APPOINTED
18/08/2021
REAP
TEAS REVOKE/APP/CHANGE ADDR OF ATTY/DOM REP RECEIVED
18/08/2021
R.PR
REGISTERED-PRINCIPAL REGISTER
16/02/2021
NPUB
OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED
01/12/2020
PUBO
PUBLISHED FOR OPPOSITION
01/12/2020
NONP
NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED
11/11/2020
CNSA
APPROVED FOR PUB - PRINCIPAL REGISTER
26/10/2020
TEME
TEAS/EMAIL CORRESPONDENCE ENTERED
26/10/2020
CRFA
CORRESPONDENCE RECEIVED IN LAW OFFICE
26/10/2020
TROA
TEAS RESPONSE TO OFFICE ACTION RECEIVED
26/10/2020
CHAN
APPLICANT/CORRESPONDENCE CHANGES (NON-RESPONSIVE) ENTERED
19/10/2020
TCCA
TEAS CHANGE OF CORRESPONDENCE RECEIVED
19/10/2020
ARAA
ATTORNEY/DOM.REP.REVOKED AND/OR APPOINTED
19/10/2020
REAP
TEAS REVOKE/APP/CHANGE ADDR OF ATTY/DOM REP RECEIVED
19/10/2020
COAR
TEAS CHANGE OF OWNER ADDRESS RECEIVED
19/10/2020
GNRN
NOTIFICATION OF NON-FINAL ACTION E-MAILED
22/06/2020
GNRT
NON-FINAL ACTION E-MAILED
22/06/2020
CNRT
NON-FINAL ACTION WRITTEN
22/06/2020
DOCK
ASSIGNED TO EXAMINER
19/06/2020
NWOS
NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
03/04/2020
NWAP
NEW APPLICATION ENTERED
02/04/2020
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