Even though the quantity – and speed – of today’s data can be a good thing, it can also obscure some of the most important information. And, when it comes to cybercrime, you need to see things as they happen – and be able to adapt to predict future attacks. What would help is a technology that lets you see all of the right information in a format that helps make sense of it all. Advanced analytics and data visualization make that possible.
In recent years, cyber threats have evolved beyond small-time hackers into coordinated attacks by organized cyber criminals. According to The Sydney Morning Herald, “cyber attacks and cyber espionage have for the first time supplanted terrorism as the top security threat facing the United States”.
According to the Herald, Army General Keith Alexander, head of the US military’s Cyber Command, predicts “the intensity and number of attacks will grow significantly throughout the year.” He said that cyber-attacks – particularly on the US banking sector – are getting worse. In fact, several major banks were recently targeted with coordinated Denial of Service (DoS) attacks.
Because of the increase in the number and severity of these attacks, many organizations have begun using advanced analytics and data visualization technologies to find cyber-crime activity and predict future attacks. These technologies help employees who aren’t data scientists or analysts to ask questions of the data – based on their own business expertise – to quickly and easily find patterns, spot inconsistencies, even get answers to questions they haven’t yet thought to ask.
The Navy Cyber Defense Operations Command is using data visualization to help defend the safety and security of the US Navy’s computer networks. These same capabilities are available for banks. Enormous amounts of network traffic data can be aggregated, manipulated, fused, visualized, processed and analyzed in a drag-and-drop interface. Sophisticated analyses can be performed quickly – even immediately – by people across all levels of your organization.
Using multiple types of analysis, alerts and other valuable intelligence can be created for anomaly detection and predictive analytics, and to investigate slow and low network intrusion. And the analytic models get smarter over time with learning and improvement cycles.
Analytics and data visualization gives a more complete picture of a bank’s systems and networks so that you can take a strategic approach to prioritizing resources and efforts instead of just plugging holes and fighting fires. These technological capabilities go well beyond business intelligence to provide data-driven information and analysis that is future directed, so decision makers can be proactive. To make the data even more accessible, results can be delivered through multiple channels, including smart phones and iPads.
This new age of information overload might have caused a temporary setback for some, but others are now getting meaningful results – very quickly.