Rules and AI coming together for best results.
Hawk employs advanced analytics and orchestration for efficient transaction monitoring. Our two-stage process begins with classic rules generating exceptions, followed by AI techniques analyzing transactions. Machine learning, guided by analyst activities and previous alerts, detects false positives. By analyzing customer behavior and peer groups, AI identifies suspicious patterns, delivering enriched alerts for thorough investigation.
Our customers appreciate our excellence.
Clients praise us for our fully multitenant architecture, seamless data integration, and compatibility with core banking and card processing platforms. They value its comprehensive transaction monitoring, including cards and P2P, and the ease of rule implementation. Clients commend the "super fluid" case management and the system's ability to maintain a "perfect" audit trail. They appreciate the machine learning capabilities for reducing false positives and the system's flexibility, scalability, and continuous development with excellent vendor support.
Get the brief and discover why we stand out.
The Celent Technology Capabilities Matrix places Hawk in the "Technology Standouts" category, meaning our solution excels in technology capability.
