Fraud Analytics - Blog Posts

Banks are in the pursuit of finding feasible ways of securing systems and services from rampant cybersecurity threats. There have been enough financial frauds in the recent past to drive banking institutions into considering novel methods of risk monitoring and prevention. Data analytics offers impactful solutions in this respect. 

Analytics solutions that have been customized to deliver anti-fraud services to banking firms are enabling a modern, technology-driven approach in managing security concerns. Intelligence and automation are the mainstays of advanced analytics solutions, making fraud analytics the key for relevant and reliable security capabilities.

The extent to which fraud analytics can save banks from exposure to risks depends on the security features provided by the vendors, as well as on a banking firm's ability to implement the solutions optimally. This article talks about the events leading up to the widespread adoption of fraud analytics in banking and what banks can expect from the analytics tools.

Scope of Overcoming Challenges

Adopting advanced technology has become viable from a financial and utility point of view. High network speeds, cloud computing, artificial intelligence, machine learning, IoT, and data analytics are making their way into every-day business applications. As advantageous as these technologies might be for banks, they have given rise to cybersecurity risks. Cybercriminals are....