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3DiVi Inc., founded in 2011, is one of the leading developers of AI and machine learning (ML) technologies for computer vision.
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White Paper

Threat Model for Remote Biometric Identification in Digital Banking

Overview of Face Biometric Attacks – A deep dive into how fraudsters exploit face recognition systems from photo attacks to deepfakes.
Countermeasures – Best practices to combat biometric fraud using AI-powered detection, organizational controls, and more.
Comprehensive Threat Model – A detailed analysis of threat actors, potential threats, and implementation strategies.
Industry Impact – How fintech services and digital platforms can fortify biometric authentication security.
White Paper
Threat Model for Remote Biometric Identification in Digital Banking
  • Comprehensive Threat Model – A detailed analysis of threat actors, potential threats, and implementation strategies.
  • Overview of Face Biometric Attacks – A deep dive into how fraudsters exploit face recognition systems from photo attacks to deepfakes.
  • Countermeasures – Best practices to combat biometric fraud using AI-powered detection, organizational controls, and more.
  • Industry Impact – How fintech services and digital platforms can fortify biometric authentication security.
For AI & Machine Learning Engineers – Identify vulnerabilities in biometric algorithms to strengthen security measures.
For Fraud Prevention & Risk Management Teams – Stay proactive against emerging threats, including deepfake-based fraud.
For Regulatory & Compliance Officers – Ensure alignment with legal and regulatory frameworks for biometric security.

Stay Ahead of Biometric Fraud: A Must-Read for Security Leaders

For Government & Law Enforcement Agencies – Develop countermeasures to combat identity fraud in public services and national security.
For CISOs & Cybersecurity Teams – Stay informed on evolving biometric authentication threats and defense strategies.
For Banks & Fintech Companies – Boost security for remote KYC, identity verification, and fraud prevention.
Stay Ahead of Biometric Fraud: A Must-Read for Security Leaders
  • For CISOs & Cybersecurity Teams – Stay informed on evolving biometric authentication threats and defense strategies.
  • For Banks & Fintech Companies – Boost security for remote KYC, identity verification, and fraud prevention.
  • For Regulatory & Compliance Officers – Ensure alignment with legal and regulatory frameworks for biometric security.
  • For AI & Machine Learning Engineers – Identify vulnerabilities in biometric algorithms to strengthen security measures.
  • For Fraud Prevention & Risk Management Teams – Stay proactive against emerging threats, including deepfake-based fraud.
  • For Government & Law Enforcement Agencies – Develop countermeasures to combat identity fraud in public services and national security.
White Paper: Threat Model for Remote Biometric Identification in Digital Banking
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