Fraud Forensics: Demystifying Modern Fraud Attacks in Banking

Learn clear and actionable insights to protect your financial institution from sophisticated fraud attacks using a holistic approach that leverages advanced AI and machine learning.

During this on-demand webinar, DataVisor’s Co-Founder and CTO Fang Yu explores:

  • Popular fraud types in banking in 2021
  • A deep dive into latest fraud attack techniques
  • A cash-out fraud case study
  • How AI and machine learning can give you a competitive edge

Learn How to Stop Modern Banking Fraud

The shift toward online banking has widened the attack surface for modern fraudsters, who leverage advanced techniques to commit fraud. In fact, 1 in 7 new account creations are fraudulent, and a hacker attack happens every 39 seconds. As fraudsters gain access to more resources and fine-tune their attacks, the scale of damage they can inflict on financial institutions is amplified exponentially. This webinar explains how a holistic approach to fraud prevention that leverages advanced machine learning techniques is the only way to stay a step ahead of today’s sophisticated fraudsters.

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About DataVisor

DataVisor is the leading fraud and risk management platform powered by transformational AI technology. Using proprietary machine learning algorithms, DataVisor restores trust in digital commerce by enabling organizations to proactively detect and act on fast-evolving fraud patterns, and prevent future attacks before they happen. Combining advanced analytics and an intelligence network of more than 4B global user accounts, DataVisor protects against financial losses and reputational damage across a variety of industries, including financial services, insurance, marketplaces, ecommerce, and internet platforms.