Make it easier to spot the signal in the noise and stay focused on what matters. We design and build solutions to help you identify fraud faster and with greater efficiency so you can address activity in real time.
Easily visualize complex, fully-connected data to detect, flag, and mitigate fraud. Decrease false positives and identify high-risk patterns, fast.
Single, centralized view of historical and real-time data to boost operational speed and efficiency. Identify and mitigate suspicious activity with ease.
Turn complex data into actionable insights and put your expert users in control. Use What If analytics to stay ahead of any potential fraudster.
Aggregate your data and analyze it in real-time to quickly and efficiently spot high-risk activity and fraud.
Dive deep into historical activity and interrogate it thoroughly to understand relationships between entities, bad actors, and more.
Understand patterns and leading fraud indicators to build advanced and early-warning systems to stop fraud before it begins.
This demo explores fraud prevention in healthcare applications
It is important to note that as time goes on, fraudsters will continue to adapt to rules and regulations that attempt to prevent them from committing fraud. While supervised detection systems can detect certain types of fraud well, oftentimes analysts don’t immediately know whether new patterns are indicative of fraud or not. This is why it is important to use an unsupervised system that can learn not only from existing patterns, but from new patterns as well.
Learn about fighting fraud with Graph and Machine Learning Experts
Together we can build innovative solutions that mitigate the risk of fraud, solve compliance concerns, and protect the business from bad actors and fraudulent activity.