It’s unbelievable to see how quickly cloud computing and applications are growing. Huge portions of most major industries in the world use the cloud for some aspect of their everyday operations. When the cloud first came onto the scene as a computing tool, many saw it as an optional resource to utilize if they saw fit. Now, it’s a mainstay and only growing more popular.
SwissCognitive Guest Blogger: Rae Steinbach, a graduate of Tufts University with a combined International Relations and Chinese degree
Although the cloud is becoming more prominent, it is presenting challenges to some who don’t understand the practices that keep cloud computing secure. A great example is security within the cloud and in regards to those who use it. While many are planning to expand how they use the cloud in the future, few are aware of the security implications that might have on their business.
That said, a data breach is something no organization or company wants to experience. It takes financial and operational resources away from what truly matters: growing your business amidst growing competitors. With cloud security existing as a top priority that many need to invest more time and energy into, there might be a way to ensure that you have help when it comes to monitoring for breaches and unusual activity. The solution: AI and machine learning.
What Role Does AI Play in Cloud Computing
Artificial intelligence is a solution that many aspects of business utilize in 2021. AI can help you pinpoint areas of your website that need improvements or even help you troubleshoot a major programming error. AI is also assisting in the process of better addressing security concerns in the cloud. Machine learning is a part of AI which involves algorithms that learn from data to better act like a human might in certain situations. When it comes to security monitoring within a cloud ecosystem, machine learning and AI can play an important role.
Cloud security is more than just data breaches. Depending on the size and scope of your business, cloud security can include ensuring only certain employees have access to certain information, encrypting things like internal documents, or even monitoring who is accessing the cloud at what times and places. These things can be crucial to pinpointing where data might be going if you’re concerned about privacy or sensitive information. While a human could monitor these things within the cloud infrastructure, machine learning helps to automate this process in an impactful way.
How Machine Learning Works for Cloud Security
As an AI algorithm monitors cloud activity, it can begin to recognize patterns and address irregularities all on its own. The longer you utilize an AI monitor, then the better it works. The more data it reads, the better it becomes at serving your business as a reliable and efficient check on cloud activity that might raise eyebrows.
Let’s take a big company that operates entirely on the cloud like Netflix as an example of machine learning’s efficiency. Netflix has thousands and thousands of different uses for the cloud. Not to mention, the company’s employees might be significantly larger than your workforce. How does it keep track of ensuring cloud security keeps their data and info safe? AI algorithms help to monitor irregularities like security exploitations or unauthorized users.
Whether you’re a small or big business, it’s best to let machine learning tackle this cloud security role to save human workers for more hands-on tasks. Plus, AI can begin to do things that humans sometimes squander as they concern themselves with numerous duties and responsibilities. For example, a pattern that leads to cloud security infractions might be noticeable to an AI algorithm that a human who is worried about numerous projects might miss.
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Human error as well as the large quantity of data monitoring needed to adequately protect a company against breaches help make machine learning and AI well worth the investment and implementation. As companies begin to think beyond traditional IT configurations, it’s crucial to imagine AI not as a tool but as a necessity to helping your business grow.
A Look Beyond Today’s Machine Learning
It’s not too far into the future that experts can see AI writing cloud infrastructure code and offering advice on bolstering digital elements of a business. AI gets smarter the more and more we utilize it, and that goes for security as well as the long-term growth of your business.
Finding ways to utilize the latest and greatest in cloud computing can be overwhelming, but experts agree it’s a necessary expansion for business to take on if they want to get ahead. Find time to explore where AI and machine learning could help your business and enhance your cloud security capabilities today.
About the Author:
Rae is a graduate of Tufts University with a combined International Relations and Chinese degree. After spending time living and working abroad in China, she returned to NYC to pursue her career and continue curating quality content. Rae is passionate about travel, food, and writing (of course).
It’s unbelievable to see how quickly cloud computing and applications are growing. Huge portions of most major industries in the world use the cloud for some aspect of their everyday operations. When the cloud first came onto the scene as a computing tool, many saw it as an optional resource to utilize if they saw fit. Now, it’s a mainstay and only growing more popular.
SwissCognitive Guest Blogger: Rae Steinbach, a graduate of Tufts University with a combined International Relations and Chinese degree
That said, a data breach is something no organization or company wants to experience. It takes financial and operational resources away from what truly matters: growing your business amidst growing competitors. With cloud security existing as a top priority that many need to invest more time and energy into, there might be a way to ensure that you have help when it comes to monitoring for breaches and unusual activity. The solution: AI and machine learning.
What Role Does AI Play in Cloud Computing
Artificial intelligence is a solution that many aspects of business utilize in 2021. AI can help you pinpoint areas of your website that need improvements or even help you troubleshoot a major programming error. AI is also assisting in the process of better addressing security concerns in the cloud. Machine learning is a part of AI which involves algorithms that learn from data to better act like a human might in certain situations. When it comes to security monitoring within a cloud ecosystem, machine learning and AI can play an important role.
Cloud security is more than just data breaches. Depending on the size and scope of your business, cloud security can include ensuring only certain employees have access to certain information, encrypting things like internal documents, or even monitoring who is accessing the cloud at what times and places. These things can be crucial to pinpointing where data might be going if you’re concerned about privacy or sensitive information. While a human could monitor these things within the cloud infrastructure, machine learning helps to automate this process in an impactful way.
How Machine Learning Works for Cloud Security
As an AI algorithm monitors cloud activity, it can begin to recognize patterns and address irregularities all on its own. The longer you utilize an AI monitor, then the better it works. The more data it reads, the better it becomes at serving your business as a reliable and efficient check on cloud activity that might raise eyebrows.
Let’s take a big company that operates entirely on the cloud like Netflix as an example of machine learning’s efficiency. Netflix has thousands and thousands of different uses for the cloud. Not to mention, the company’s employees might be significantly larger than your workforce. How does it keep track of ensuring cloud security keeps their data and info safe? AI algorithms help to monitor irregularities like security exploitations or unauthorized users.
Whether you’re a small or big business, it’s best to let machine learning tackle this cloud security role to save human workers for more hands-on tasks. Plus, AI can begin to do things that humans sometimes squander as they concern themselves with numerous duties and responsibilities. For example, a pattern that leads to cloud security infractions might be noticeable to an AI algorithm that a human who is worried about numerous projects might miss.
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
Human error as well as the large quantity of data monitoring needed to adequately protect a company against breaches help make machine learning and AI well worth the investment and implementation. As companies begin to think beyond traditional IT configurations, it’s crucial to imagine AI not as a tool but as a necessity to helping your business grow.
A Look Beyond Today’s Machine Learning
It’s not too far into the future that experts can see AI writing cloud infrastructure code and offering advice on bolstering digital elements of a business. AI gets smarter the more and more we utilize it, and that goes for security as well as the long-term growth of your business.
Finding ways to utilize the latest and greatest in cloud computing can be overwhelming, but experts agree it’s a necessary expansion for business to take on if they want to get ahead. Find time to explore where AI and machine learning could help your business and enhance your cloud security capabilities today.
About the Author:
Rae is a graduate of Tufts University with a combined International Relations and Chinese degree. After spending time living and working abroad in China, she returned to NYC to pursue her career and continue curating quality content. Rae is passionate about travel, food, and writing (of course).
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