Organizations in various industries are under increased pressure to identify subtle patterns that indicate fraud before customers are targeted by threats including account takeover, identity theft, and application fraud.
Companies have turned to Machine Learning (ML) to stay ahead of the next generation of cybercriminals. While most organizations recognize ML analytics will help them root out various types of fraud, many of them remain in the early stages of implementing this.
Download this report to understand:
- Types of fraud garnering the highest priority for investment over the next few years;
- Planned implementation of ML and their use of enabling platforms by these institutions;
- Modeling techniques, KPIs, and the types of data inputs favored by mature organizations.