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Cyber Analytics: The Great Information Revolution

With the steady advances in technological terminology over the last decades, many of us are left wondering “What is Cyber analytics?” The question reflects a realization that there is much more going on behind the screen surface of a computer than a mere sequence of numbers. Cyber Analytics has to do with how those numbers are organized to initiate a search and analysis process that leads to a solution.

Related resource: 20 Best Data Science Bachelor’s Degree Programs

What is Cyber Analytics?

Often referred to as security analytics, the process is one where computer scientists analyze data to create, implement, and maintain digital security. By monitoring networks, cybersecurity analysts can identify when a network has been compromised and even prevent such attacks from occurring in the first place. According to an article from Compliance Week, each data breach costs the average public company $116 million.

It’s impossible to tell the future, but cybersecurity measures have the potential to prevent threats and save companies millions of dollars by detecting vulnerabilities and plugging those security holes before attackers have a chance to exploit them. Many cyber attacks aren’t noticeable when they happen and are only obvious when the company realizes a breach has occurred months after the initial digital invasion.

A cyber data analyst will protect a company’s digital property and investment by comparing real-time and historical events connected to the network. The analyst will identify past security breaches and attempted breaches and use the information gained from that research to identify weak points in the company’s digital system.

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What are Some Examples of Cyber or Security Analytics?

The job of a security analytics expert may sound as if it’s primarily concerned with looking at a computer screen for evidence of digital malfeasance, but there are many ways to monitor a company’s network and analyze it for threats. One method is analyzing the company’s network traffic to identify expected patterns.

When network traffic patterns don’t adhere to historical norms, the digital security analyst can identify an attack, as well as prevent an attack from occurring by creating safety measures that will engage when traffic patterns are suspect. Beyond general traffic patterns, analysts may also monitor the behavior of users on the network to identify normal versus abnormal behavior.

One of the most important facets of cyber analytics is that analysts can identify threats from outside the company’s network, as well as those that originate inside it. By preventing attacks from all angles, the security analyst can prevent data exfiltration, which occurs when the data housed at a company’s servers are copied or transferred without authorization.

Where is Data Collected by Analysts?

A digital security analyst may examine server traffic and behavior from many angles, including actions that occur on the company’s cloud resources and those that happen within the business applications used by employees. Analysts can also examine general network traffic, as well as the company’s endpoint and user behavior data.

In some circumstances, analysts may use adaptive learning systems that will automatically accumulate real-time data and analyze it. Data types collected by adaptive learning systems include metadata, geo-locations, and IP context. Not only can these data types be used by analysts to identify immediate threats, but the information can also be used to design future threat responses.

How are Cyber Security Analysts Trained?

Becoming a cybersecurity analyst usually requires some time spent in college and may also require official certification. The job of the cybersecurity analyst isn’t one that has existed for several years, so students must usually enroll in general information technology degree programs that feature a concentration in cybersecurity or cyber analytics. In the future, stand-alone degrees in digital analytics may exist, but they’re rare at present.

What is the Purpose Behind the Creation of Cyber Analytics?

The first experimentation with cyber analytics was an academic mission to determine the ability of computers to analyze mathematical expressions. One was to find an end to Pi—a never-ending task. Another was to discover the highest prime number, another problem not yet determined. These simple experiments with the logic capability of computers led academics to find ways to use computers to reduce research time and compile data. The military chimed in and found worth in the ability of cyber analytics to position troops, supplies, and target weapons. The trend was on, and space and air transportation industries benefitted immensely. The Internet grew to be a researching and communication tool that far exceeded the old eyesight bending use of books as data havens. Whole libraries were digitalized and made available to the general public. The science of cyber analytics grew to become a focusing tool for any research project.

How Many Uses are There for Cyber Analytics?

There are as many uses for cyber analytics as the human imagination can create. Cyber analytics has ventured into every known field and has made new fields of discovery possible. Recent studies in astrophysics using cyber analytic techniques have discovered planets around stars invisible to the naked eye or even to the typical telescope. Another example of astrophysics use of cyber analytics is the discovery of the present limit of the universe. The medical field has benefitted immensely from the use of cyber analytics. Symptoms and cures of diseases lodged in a general database had allowed medical doctors toward the correct diagnosis and treatment when such miracles were based on personal experience previously. Unfortunately, cyber analytics has also created a disease—an artificial illness that compromises cybersecurity.

What are the Cons of Cyber Analytics?

In the present scheme of things, cyber analytics can be a boon or a menace. According to Forcepoint.com Cyber hackers design viruses to breakthrough computer security formats to steal identities, funds, and even pets. Sometimes hackers have used cyber analytics to target customers of certain merchants to gain personal information. However, the greatest danger in cybersecurity is at the national level. While the hacker uses cyber analytics to find and invade systems, security-minded firms design and redesign security walls to ward them off. New versions of cyber analytic security systems seek out telltale signs of hackers’ activity and trace them back to their source.

Is Cyber Analytics a Boon or a Curse

Without the advent of cyber analytics, much of the modern amenities people enjoy would not exist. The unimaginable focus involved through the application of cyber analytics keeps cars on the road, enhances medical procedures, and provides us with gaming devices for personal entertainment during our downtime. Only a few decades separate us from the dark ages where we poured over pages of data to analyze problems and come to a solution. Cyber analytics creates and maintains that focus for us.

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