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Cybersecurity Analytics vs Cybersecurity Engineering

Ongoing digitalization around the world involves nearly every industry — including both administrative business and information technology. In parallel with evolving digitalization, organizations are realizing the imporant role that cybersecurity should play in keeping information, employees, devices and networks safe from internal and external threats. If your company is currently fortifying your cybersecurity protocols — or if you’re simply considering the benefits of increased cybersecurity — you’re likely considering a focus on both cybersecurity analytics and engineering. Let’s examine both fields in detail: the similarities, the differences and the importance that each should play as you continue to outline your cyber strategy.

What is cybersecurity analytics?

Analytics is the process of analyzing data, using statistics models that allow you to draw conclusions on your information. In cybersecurity analytics, we analyze data that directly impacts protocols that keep employees, devices, data and systems safe from cyber threats. Cybersecurity analytics takes full advantage of machine learning algorithms and data science to help monitor information as it flows into and out of an organization, and throughout that organization. At the help of cybersecurity analytics is one or more cybersecurity analysts, who help assess data and create data-driven action plans.

What are the benefits of cybersecurity analytics?

Cybersecurity analytics is a practice that helps to reinforce the security of an organization’s data. Used correctly, cybersecurity analytics can help your entire company reinforce their data and the devices and people that use it.

Here are a few of the benefits to well-applied cybersecurity analytics:

  • Prioritized Alerts

Set by your team, or your organization’s IT leaders, security alerts let you know which cybersecurity priorities to address first.

  • Automated Threat Intelligence

Automated threat intelligence is a key feature for many cybersecurity frameworks. This feature automatically informs IT leaders or team representatives whenever a potential security threat exists. Automated threat iltelligence also helps your IT team identify first steps in eliminating threats before they materialize.

  • Proactive Incident Detection

Proactive detection is one of the key factors that makes cybersecurity analytics successful. This feature helps monitor your organization’s threat levels and activity, and proactively identifies areas that might need attention.

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Where should I apply cybersecurity analytics?

You can apply cybersecurity analytics for almost any organization, such as insurance companies, rating agencies, compliance companies, security companies and technology companies. You might apply the functionality of cybersecurity analytics in the following cases:

  • Analyze network traffic to proactively identify potential threats
  • Detect internal threats or any other malicious activity
  • Set up an incident response system

Making time for cybersecurity analytics, even if you have a smaller IT team, can help your entire organization avoid threats and keep all employees, devices and data safe.

What is cybersecurity engineering?

Cybersecurity engineering is the study of cybersecurity and its tools. The field of cybersecurity engineering includes the design and implementation process of secure solutions that help your entire company fight against cyber threats. To properly implement cybersecurity engineering, your organization will need a cybersecurity engineer — an IT professional trained in computer science and information technology. In other cases, your IT team might have security engineers or data security engineers who can implement cybersecurity engineering best practices.

What are the benefits of cybersecurity engineering?

Cyber threats and cyberattacks have become a part of the business world. To maintain safety from both internal external threats, organizations deploy cybersecurity engineering strategies that keep users and data safe. Here are some of the main benefits to cybersecurity engineering:

  • Better Business

Customers, and employees, who benefit from an organization’s positive cybersecurity engineering are more likely to remain with the company long-term.

  • Improved Data Security Systems

Cybersecurity engineering maintains a major focus on keeping security systems up to date. Correctly-implemented cybersecurity engineering means keeping internal IT systems updated, and keeping employees up to date whenever these protocols change.

Where should I apply cybersecurity engineering?

Any information technology setting benefits from cybersecurity engineering, particularly if it’s part of an organization that uses a complicated cybersecurity infrastructure. With more employees comes more devices and more generated data, further heightening the need for cybersecurity engineering.

Elevate your cybersecurity strategy today

Both cybersecurity analytics and cybersecurity engineering are fundamentally important in virtually any information technology setting. To properly understand and deploy cybersecurity analytics and cybersecurity engineering, you’ll need a team capable of understanding both fields as they evolve. One of the fastest ways to educate your IT team, or simply refresh their collective understanding of modern cybersecurity, is to enroll your team in the QuickStart Cybersecurity Bootcamp.  Your team will learn foundational cybersecurity principles from the world’s foremost cyber experts, while adopting new strategies that help keep your entire organization safe.

Connect with our experts for counseling on your next step to succeed in your career. Enroll in our Cybersecurity Bootcamp program to launch your career in cybersecurity.

https://www.quickstart.com/career-driven/cyber-security-analytics-vs-cyber-security-engineering/


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