October 16, 2018 /
It’s more practical for businesses to use cloud services of third parties than to have their own data centers because security has become more in demand. However, as more companies migrate to the cloud, the need for better Cloud Security software also increases.
Last September, a consumer credit reporting agency committed a cloud data breach that affected 143 million people, which adds up to the record of Breach Level Index of 1.4 billion data breached last March 2017. Data theft, including identity theft, would be among the fatal consequences of this breach.
These are not only caused by cyber-attacks, but by natural disasters and unintentional human error that still bring devastating effects. The Yahoo breach that stole hundreds of thousands of email addresses and related information is one notorious example.
However, businesses cannot downplay the threats coming from insiders. Sometimes, it manifests as carelessness. Users sometimes use non-secure endpoint devices or receive virus-carrying email that once spread into the cloud can lead to a data breach or theft.
Cloud Security Trends
The factors above show that improvements for Cloud Security software must focus not only on prevention, but also on threat detection.
Thus, human error and malicious intentions become increasing issues that Cloud Security developers need to solve, which led to the following Cloud Security trends:
Automation, according to Business News Daily, is focused on accomplishing instructive and repetitive tasks. If automation were a body part for Cloud Security, it is the hand that finishes what needs to be done according to instructions.
Automating your Cloud Security means making work integration and deployment continuous, even if employee shifts already ended. C# Corner says that automation helps in Cloud Security by filtering alerts and prioritizing the issues and threats their data center faces.
It doesn’t minimize the importance of employees, but allows staff to focus more on tasks that need human intervention.
Business News Daily mentions the emergence of ML which is an artificial intelligence (AI) subset. If automation serves as a hand, ML acts as the nerves and brain. ML identifies, understands, and analyzes data just as a human does. It helps in answering the whys of data behaviors and determines how to solve issues.
Machines and humans need each other, according to Gartner. Machines mimic humans as they monitor information and watch over threats, but humans still train computers to be more defensive and intuitive in detecting cloud threats. Humans produce the idea, but machines make the idea work faster and more accurate.
Since the cloud contains large data sources, it enables employees to access information through personal devices, which increases risks for the cloud. CSO Online shares that ML takes advantage of the wide availability of data in the cloud by using them as bases to detect and distinguish unusual data behaviors. More files and detected malware confirm threat accuracy. Machines then send alerts and provide authentication systems to authorized personnel. ML will then block users from downloading this from or uploading this to the cloud.
Trends as Friendly Reminders
Cloud security threats continue to change and penetrate data centers slowly. If your business will stick to a security software that does not adapt to current trends, you will not only be left behind, but also put your data at risk. If you choose a Cloud Security software that uses automation and ML to combat threats, like Cisco Umbrella, you will not only protect your business’s welfare, but your customers’ interests.
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