Mobile device security analytics can play a key role in securing applications. Read on to know how you can get a leverage over them.
While pretty much everything and everyone is bound to become obsolete or extinct at a certain point of time, it seems mobile apps are here to stay for a considerably long time. The number of mobile applications we use is on a steady rise and so is the number of end points. The attack surface for companies that deploy these apps, having undergone an expansion, has become much more complicated than before. Security companies have come under a lot of pressure because of this trend.
Ensuring mobile device security today has become a lot more than a game of passwords. The attack surface needs to be thoroughly analyzed by security professionals. Apart from that, there is a load of other responsibilities for these professionals, such as
- Estimating the probability of attacks
- Analyzing the impact of attacks
- Taking actions for improving security posture
Had the hackers gone easy on networks, protecting information wouldn’t have been a big deal, but now that cyber crime has reached a whole new level, there is a need for a better strategy for mobile application security testing. The same can be done manually, but the overall process will not be scalable. Luckily, you can get a leverage on analytics which allows you not only to predict attacks but also to identify the necessary corrective action to avoid exploitation.
The role analytics can play and their power is well-established. Here’s how they are classified.
- Descriptive Analytics: These will provide data on what is currently happening.
- Diagnostic Analytics: These will explain the reasons behind what is currently happening.
- Predictive Analytics: With these analytics, you can predict what will happen next.
- Prescriptive Analytics: Based on the predictions you made, these analytics will suggest the measures to be implemented.
Read also: Mobile Device Security Trends for 2016
The classification not only makes it easier for one to understand how to make best use of analytics, but also serves as an apt framework for an Application Security Program. Companies usually rely on descriptive analytics during early stages of their security programs. Diagnostic, prescriptive and predictive analytics are utilized during the later stages in order to enhance security.