Cloud computing has been around since at least 2006, although some believe the concept was introduced in the 1960s (Regalado, A., 2011). The cloud is an extraordinary concept that provides data anytime, anywhere. Cloud computing is almost a necessity for both businesses and individuals alike. If you have Apple products, for example, you can create a spreadsheet on your Macbook, access it on your iPhone at the airport, and adjust figures on your iPad at the hotel before the meeting. This concept is not only economical it is quite simple and takes little effort on a person/business to get the ball rolling. In addition to our own individual work, there are many benefits company-wide.
Let’s say that you’re in the United Kingdom preparing to secure a multi-million dollar international deal. You suddenly realize you need additional information to help “sell” your idea to the potential UK partners. One of your co-workers back in Seattle quickly generates the report and uploads it to your company’s cloud account and within a few seconds you have access to the data. Now, imagine if a company can access data (not personal/professional/business documents, etc.) and use it to produce a robust targeted marketing campaign or some other data mining exploration.
The point is, nearly everyone (either wittingly or unwittingly) is connected the cloud in some form or fashion. The data collected and analyzed will definitely help a company make decisions because they can gain significant insight into people’s habits, buying choices, social media activity, and personal preferences (Technology Advice, n.d.). With this information at a company’s fingertips, they will be able to make decisions that not only benefit the company, but also their potential and current customers.
Regalado, A. (2011, October 31). Who Coined ‘Cloud Computing?” MIT Technology Review. Retrieved from https://www.technologyreview.com/s/425970/who-coined-cloud-computing.
Technology Advice. (n.d.). Data Analytics in Cloud Computing. Retrieved from http://technologyadvice.com/wp-content/uploads/2013/05/Data-Analytics-in-Cloud-Computing_TechnologyAdvice.pdf.
With the number of different systems, the internet, and hard copy files, security analytics mean it needs to be monitored in real time and have actions taken as soon as possible by all users since these systems are nowadays connected to the network. Those actions need to be placed in context of expected behavior and determining what suspicious or unexpected behavior that could be exploited and affect the service.
Security analytics is one of the main trends in analytics today, with the drive towards actionable insight from raw information. Grown from Security information and event management (SIEM), a convergence of security information management, it provides the ability to identify and recognize threats to infrastructure in real-time instead of capturing log and relying on previous analysis. It is used to help organizations manage risk. As with all businesses, risk is important to understand. Any business that deals with IT related security will want to know about security Analytics.
Emerging trends for analytics in security has roots in SIEM with log management capabilities, but it has become over focused on compliance. Vendors are adding ad-hoc SQL query functions that con simplify complex event processing. Additionally, the tools are evolving into integrated management platforms that combine capabilities into real time intelligence and feeds to counter these threats.
IT securities are going to continue to grow and expand, knowing and understanding capabilities are going to protect consumers and companies in the long run.
Howarth, F. (2017). Security Analytics. Retrieved on 25 July 2017 from:http://www.bloorresearch.com/technology/security-analytics/