Covelight Intros New CTF

Complete application independence. Deployed as a passive network sensor, the traffic capture, SSL decryption, transaction logging and session, and login identification are all performed without any integration into the online application or server(s), while maintaining complete transparency to online users. This non-intrusive approach also saves money by eliminating the need for application development to install and maintain the system, and does not degrade application performance. Typical deployments can take place in under one hour.

True real-time delivery of data. CTF delivers the data the instant it is available. It captures raw application traffic in real-time, transforms it into meaningful events, and feeds these events directly into the fraud detection systems or back-end analytic engines – all without intermediate data warehouses or batch-mode transformations.

Massive data reduction. Data reduction is achieved by filtering out content that is not important to the detection and analytics system, and by formatting only the extracted information. This simplifies the job of the detection and analytics systems by reducing the amount of data that must be parsed and analyzed.

Highly configurable data transformation options. The key to CTF is in completing the transformation from raw captured data to meaningful business-level events in a single step, in real-time, and for each event independently. This is done without intermediate batching, caching, or databases in order to meet the real-time requirements. Transformed data can be used to construct an event stream for delivery to a fraud management or CEP system.

Native support for a variety of output adapters. The transformed event stream is packaged into one or more adapters that integrate directly into one or more fraud management or CEP systems simultaneously. Example formats include JMS message bus, StreamBase, SMB flat file stores, configurable TCP stream, and direct database insertion.

True enterprise scale. Already proven in very large scale deployments, CTF can accommodate extremely high traffic loads individually (500 Mbps) and even greater loads when combined in clusters with the load-balancing cluster controller (multi-Gbps).

Online fraud management. CTF delivers real-time identity-based user data to enterprise fraud management systems which combines the online data with sources from other service delivery channels to provide a comprehensive view of the enterprise’s fraud posture or to a complex event processing system (CEP). This offers the most straightforward path to integrating the online channel into existing fraud management systems. The detection rules, analytics, and case management functions are performed by these and ancillary systems.

Online business analytics. CTF feeds real user transaction and session information to complex event processing (CEP) solutions in real-time or to an existing business intelligence platform to improve online marketing results and the user experience.

Non-intrusive deployment option for adaptive or risk-based authentication. CTF delivers an independent real-time feed of transactional, user, and session information to existing online fraud and authentication products, offering an alternative for customers who prefer a non-intrusive transparent approach or require rapid deployment of the solution.

Independent application audit trail. CTF independently creates and stores on a remote server, a comprehensive audit trail of all application activity and business-level transactions — all attributed to the userID and grouped by online session. This offers fraud and incident investigation teams a simple way to store highly configurable and detailed application logs for later use in an investigation, without making changes to the application or degrading the performance of application servers.