buguroo - Deep Learning Fraud Prevention

buguroo - Deep Learning Fraud Prevention Employee Directory

Computer and Network SecurityCalifornia, United States51-200 Employees

Revelock enables financial services and fintech companies to reveal and respond to online identity impersonation & manipulation attacks without hindering the customer experience. 

Protecting more than 50 million banking customers worldwide, the Revelock Fraud Detection & Response (FDR) Platform combines behavioral biometrics, network and device assessment with hybrid AI and Deep Learning to create a BionicID™ and continuously Know Your User (KYU), spot bad actors and mitigate risk regardless of the type of attack.

From new account creation and login to logout, across every interaction, Revelock non-intrusively detects behavioral and environmental anomalies while protecting customers from RATs, zero-day malware, bots and social engineering attacks. 

Revelock Active Defense capabilities give Fraud Fusion Center analysts full control over automated risk mitigation and Revelock Pre-emptive Defense enables analysts to use Revelock Hunter to discover and disrupt mule networks and previously undetected compromised accounts.

Revelock Solutions prevent Account TakeOver (ATO) and provide continuous behavioral biometric risk assessment and silent stepped-up authentication (MFA) to prevent New Account Fraud (NAF), Card Not Present Fraud (CNP / 3D Secure) and comply with PSD2/SCA.

Find buguroo - Deep Learning Fraud Prevention employees' phone numbers or email addresses

buguroo - Deep Learning Fraud Prevention Global Highlights

Location
Employees

Europe
8

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  • Spain
    8

North America
4

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  • United States Of America
    4

Africa
1

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  • Morocco
    1

buguroo - Deep Learning Fraud Prevention's Leadership

  • Stylized image of a person
    I. D.
    Senior Site Reliability Engineer
    Phone icon
  • Stylized image of a person
    D. M.
    System Developer
    Phone icon
  • Stylized image of a person
    D. D.
    Advisory Board Member
    Phone icon
  • Stylized image of a person
    J. U.
    Phone icon
  • Stylized image of a person
    T. S. B.
    Phone icon

Contact profiles from buguroo - Deep Learning Fraud Prevention

Name
Title
Contact Info
Location
Last Update
  • Stylized image of a person
    I. D.
    Senior Site Reliability Engineer
    Phone icon
    SpainCommunity of Madrid
    Jul 08, 2024
  • Stylized image of a person
    D. M.
    System Developer
    Phone icon
    SpainMadrid
    Apr 12, 2023
  • Stylized image of a person
    D. D.
    Advisory Board Member
    Phone icon
    UNITED STATES
    Oct 23, 2024
  • Stylized image of a person
    J. U.
    Phone icon
    UNITED STATES
    Mar 13, 2023
  • Stylized image of a person
    T. S. B.
    Phone icon
    UNITED STATES
    Mar 09, 2023

Frequently Asked Questions

What is buguroo - Deep Learning Fraud Prevention known for?

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buguroo - Deep Learning Fraud Prevention operates in the Computer and Network Security industry. The company's main headquarters is located in 345 Lorton Ave Suite 401 Burlingame, California 94010 US; you can contact the main corporate office by phone at . Explore buguroo - Deep Learning Fraud Prevention's company overview page for more information.

What is buguroo - Deep Learning Fraud Prevention's most common email format?

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buguroo - Deep Learning Fraud Prevention employees' email format typically follows the pattern of . Trying to find reliable and up-to-date employee contact data? Find more buguroo - Deep Learning Fraud Prevention email formats with LeadIQ.

How many employees does buguroo - Deep Learning Fraud Prevention have currently?

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buguroo - Deep Learning Fraud Prevention has approximately 51 employees as of September 2025. These team members are located across 3 continents, including EuropeNorth AmericaAfrica.

Who are buguroo - Deep Learning Fraud Prevention's key employees and leadership?

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As of September 2025, buguroo - Deep Learning Fraud Prevention's key employees include:

  • Senior Site Reliability Engineer: I. D.
  • System Developer: D. M.
  • Advisory Board Member: D. D.
  • : J. U.
  • : T. S. B.

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