Hawk AI provides a SaaS model through the cloud. Currently on AWS, the service can be deployed elsewhere using Kubernetes. For large clients, other options also exist. Clients integrate through a RESTful JSON-based API or core banking system plugins. The platform makes use of machine learning by applying traditional supervised learning (XGBoost and similar) for automating human decisions, as well as unsupervised deep learning (Tensorflow) for outlier and anomaly detection. Our solution differentiates in three key areas. First, it combines AI with traditional rules-based systems to significantly improve transaction monitoring speed and accuracy. Secondly, the cloud-native platform powers greater efficiencies and provides pattern data pooling and sharing among Hawk’s network of global financial institutions, creating a powerful network effect and ultimately enhancing the effectiveness of anti-money laundering while being fully compliant to privacy laws and regulations. Third, we are a pioneer in Explainable AI (patent pending), making the use of AI and Machine Learning in AML Compliance a reality.