Insider threats are one of the most significant cybersecurity risks to banks today. These threats are becoming more frequent, more difficult to detect, and more complicated to prevent. PwC's 2018 Global Economic Crime and Fraud Survey reveals that people inside the organization commit 52% of all frauds. Information security breaches originating within a bank can include employees mishandling user credentials and account data, lack of system controls, responding to phishing emails, or regulatory violations. Ignoring any internal security breach poses as much risk as an external threat such as hacking, especially in a highly regulated industry like banking.

We are integrating analytics across our monitoring and management software with application experience analytics (AXA) for the best app experience. We are also leveraging advanced analytics and insights across our security portfolio, including payment security with the CA Risk Analytics Network. We are integrating analytics across our monitoring and management software with application experience analytics (AXA) for the best app experience. We are also leveraging advanced analytics and insights across our security portfolio, including payment security with the CA Risk Analytics Network.

Deep Learning is growing in power, scale, availability and frameworks. Open Source tools for Neural networks are everywhere, you have so much choice. Interesting new developments like PaddlePaddle, Keras and Deep Water are showing up and updating frequently. Unfortunately a lot of them take some serious power in GPUs, number of nodes, RAM, disk space, network bandwidth and CPU cores like IM2TXT for TensorFlow. These are very good uses of your 100 node Hadoop clusters especially ones running on AWS with GPUs.