What if your fraud detection solution could teach itself to identify new fraud patterns? That's adaptive modeling. A "bolt-on" adaptive modeling layer works as a secondary analytic layer with fraud detection systems that use past transactional and case disposition data to significantly improve fraud detection. The benefits includes faster interception of new threats, more robust custom models, better fitting consortium models, flexibility to increase focus on particular types of fraud, and reduced risk when deploying new detection approaches into production environments.
Download the white paper, "How Can Fraud Models Combat New Tricks?" to learn:
- How adaptive models work
- The benefits of adaptive models, and
- How adaptive models improved fraud account detection by nearly 20% in a recent test