Managing online security for companies is a big task. In a world of increasing cyber threats, the risks to financial organizations are greater than they have ever been. Data breaches result not only in financial loss from data theft and misuse, but in significant reputation damage to the organizations that experience them. How can such organizations quickly and accurately identify risks to protect their data, their assets, and their customers? Threats to your network and vital data sets are constantly evolving to be more sophisticated, which makes them more difficult to detect, especially when you are relying on traditional tools.
Sixty-one percent of IT practitioners know that organizations using big data analytics solve pressing security issues (Ponemon Institute). Big Data Analytics can transform how banks and financial institutions unlock insights, make more meaningful decisions, and manage risk. By building a Modern Data Architecture, they can collect, store, analyze and manipulate massive quantities of user- and machine-generated data on their own terms—regardless of the source of that data, how old it is, where it is stored, or under what format.
For example, a global financial organization needed to respond dynamically and instantly to any indication of malicious-in-network activity. The company’s Analytics team implemented Apache Hadoop for managing large data volumes and Platfora Big Data Analytics for providing fast and flexible analysis. With Platfora, their Security and Metrics team has been empowered to develop a whole new set of approaches for quickly and accurately identifying these risks to protect their data, their assets, and their customers. They’ve developed three security analytics use cases for identifying and mitigating risks that would not have been possible with their previous environment.
Want to learn more? Join our upcoming webinar with Platfora to learn: