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Sunday, December 22, 2024

5 Important Features for Strengthening Cloud Security

Organizations become conscious when they shift to the cloud. Before they invest in cloud-based solutions they focus on their cost-savings, scalability and increased agility. But due to their quick decisions, they often overlook that their current cyber security measures will be enough to secure their distributed multi-cloud environments. But cloud security is a whole different game, with new risks emerging in the market.

It is important to hire a security testing company that can ensure your data is safe, secure and compliant in the new cloud environment. Security experts should ensure that their cloud solutions are protected and they are compatible with solutions across the distributed network. They should also understand the shared-responsibility model. The security testing teams are responsible for data security assurance. They cannot just secure cloud-based solutions by applying traditional security measures.

The truth is that cyber-criminals are always in search of misconfigured cloud security controls. According to Gartner, in 2020, 99% of all cloud security incidents will be due to device misconfigurations, and customers will be responsible for it. In case of a successful attack, the enterprise will put all its sensitive data at risk and cause an interruption in its business operations. It can damage an organization’s reputation and they may have to face penalties of having weak security controls in place. 

Following are 5 important features of cloud security controls that a security testing company needs to provide when testing cloud-based solutions:

  • Centralized Cloud Infrastructure 

Cloud security controls include centralized visibility into security policies, configuration settings, and user activity. It also includes risks that may be present in online data stores. It reduces the risks of security teams overlooking vulnerabilities in cloud security due to misconfigurations, or any suspicious activity that indicates an attack. 

  • Integration into Cloud Security Systems

Cloud-based solutions are based on a shared-responsibility model, customers control some of the security settings and others by the public cloud vendor. To gain visibility into security posture across clouds require close coordination between the teams and the cloud environment. 

  • AI and ML- Powered Web App Protection 

There can be alot of security gaps when it is not clear who is responsible for protecting the cloud infrastructure. Machine learning and artificial intelligence can protect cloud-based applications and implement protection measures in ways that no human can do, in terms of speed and accuracy. 

  • Threat Intelligence Feeds

If you have a complex cloud environment, enterprises prefer the use of multiple vendors, which means they become more vulnerable to threats. A security testing company should ensure that they provide comprehensive services to cater to all cloud-based apps under one roof. 

  • Security Automation 

With the increasing cyber security incidents, the gap between the current security posture of businesses requires attention. Security experts are in high demand and their existing security teams are not enough to do the needful tasks. So it becomes important to automate security controls leaving no room for security vulnerabilities in the cloud-based applications. 

Author Bio:

Ray Parker is a Senior Marketing Consultant with a knack for writing the latest news in tech, quality assurance, software development and testing. With a decade of experience working in the tech industry, Ray now dabbles out of his New York office.

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