JENNIFER

Connects to applications without having to modify code and collects performance data in a non-intrusive way. Delivers high throughput, ensuring premium experience. Analyzes root causes using AI-powered threshold detection and machine learning based on historical data. Opens O&M data query APIs and collection standards, and supports independent development. Application auto-discovery, transaction analysis, and Apdex to detect problems and improve user experience. Support for mainstream Java frameworks, web containers, communications protocols, and databases; easy access to applications without having to modify code. Full-stack tracing of messages from web browsers to servers, and then to databases; code-level O&M. APM provides application performance tracing and comprehensive topology views, letting you monitor applications in real time and diagnose faults quickly.

Fraud.com's aiReflex determines which transactions are legitimate in real-time using a multi-layer defence coupled with explainable AI to fight fraud & improve customer trust. The detection layer analyses your transactional data in real-time to deliver unmatched risk-scoring accuracy. The multi-layer defence identifies suspicious transactions using our adaptive machine learning algorithms, adaptive rules & next-generational behavioural engine to create hyper granular profiles for every individual to identify abnormal behaviour. aiReflex's Response layer manages fraud centrally via an omnichannel case manager, automating tasks & decision-making to reduce fraud, friction & fraud team inefficiencies. Investigators become superheroes with a 360-degree view of the customer and explainable AI to manage a case with great accuracy & speed, with intelligent search, reporting, queue management & link analysis. Contact us at fraud.com to learn how we can improve your fraud defences.