TigerGraph powers Anti-Money Laundering (AML) by linking data together, incorporating rules-based machine learning methods to automate processes and reduce false positives - all in real-time. Organizations can move away from cumbersome transactional processes and towards a more strategic and efficient approach. Real-Time Deep Link Analytics by TigerGraph provides enterprises the ability to quickly capture, store, search, and analyze data to find previously undiscovered correlations and connections. The result is more accurate and responsive detection of suspicious activity -- with fewer false positives. Download the solution brief to learn more.
