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How Cloud Computing Changed the Cybersecurity Landscape

December 5, 2022 No Comments

by Uzair Nazeer

Cloud computing is gaining popularity rapidly. Many organizations are shifting their workloads, infrastructures, and data to the cloud. By leaving the overhead of their non-core business components, such as infrastructure, platforms, and software, to cloud vendors, this strategy enables businesses to concentrate on their own operational excellence. 

This shift has led to a rise in demand for cloud computing, which offers the majority of the frameworks, resources, and infrastructure needed to drive the transformation. However, recent research has uncovered several risks associated with cloud technologies. For example, when data is stored on the cloud, there is a higher chance of attacks.

How Has Cloud Migration Changed the Landscape?

The cyber security landscape has been significantly changed by the move to the cloud. Organizations were previously limited to using applications and data exclusively inside the confines of their own data centers. Data and applications are now accessed and kept in several locations as a result of the transfer to the cloud. Even the most resilient of enterprises are now vulnerable to new dangers as organizations’ attack surfaces grow into the cloud, putting security teams to the ultimate test to ensure that all assets are safe. 

Attacks can start by simply infecting a single system with an open vulnerability. Cybercriminals are now using the cloud to launch attacks, which can take many shapes.

The Risk of Cybersecurity Threats Is Increasing 

Source

The risk of cyberattacks is constantly growing as more and more organizations and users choose to set up online platforms for their operations. Additionally, securing cloud data helps companies protect themselves from malicious cyberattacks. Since most businesses are increasingly relying on cloud systems, cybercriminals are finding ways to hack into cloud-based systems. Here are some of the common threats that one might encounter.

The Growth in Artificial Intelligence And Machine Learning

Using machine learning (ML) and artificial intelligence (AI) is an efficient way of detecting and mitigating harmful programs. Threat detection is being taught in machines through both human instruction and trial and error. However, not all AI and ML applications have been helpful to humankind. Cybercriminals have taken notice of them, and the use of AI and ML has begun to provide serious cybersecurity issues. Cybercriminals are employing countermeasures like model theft, hostile inputs, and data poisoning to avoid these new advancements.

Vulnerable APIs

The application programming interface, or API, is a body of code that facilitates communication between two software products. In contemporary architecture, APIs serve as connecting nodes. However, an unreliable API can cause a number of cybersecurity-related problems.

Always Connected to the Web

Because they are constantly online, cloud services are susceptible to threats and cyberattacks. We are more vulnerable to risks from harmful activities the more reliant we are on the internet. It becomes challenging to defend cloud technology because it is completely dependent on the internet.

Growing Use of IoT Devices

People are becoming more accustomed to smart devices as the internet of things (IoT) technology enters mainstream use. Unfortunately, IoT poses potential cybersecurity risks of its own. Given the growing use of IoT, it is made considerably simpler for cyber attackers to obtain information from the cloud due to the vulnerability of the data being gathered and the procedure.

Access Management

Access permissions granted to users no longer using them should be revoked as part of these regulations. With the right application security technologies and ongoing integration of security into the application development process, further protection can be accomplished. Every stage of development should have DevSecOps procedures in place.

Tips to Securing Your Cloud Environment 

Source

The CSA provides a report of all the top threats to cloud computing. Here are some suggestions for securing your organization and protecting it against attacks.

Extend Security to the Cloud 

The idea that security teams are simply in charge of the data and traffic on the corporate network is a complete myth. Rather, public cloud services need to be covered by security tools. Implementing a procedure for conducting recurring audits is the first stage in ensuring that all the cloud services being used are truly known.

Trust No One

Adopt zero trust security for networks, people, devices, data, and workloads across your activities. Make sure that each of these locations has security perimeters and that your company only grants access to its users and applications based on the bare minimum of permissions and privileges.

Use Machine Learning and Deep Learning Tools

ML and AI have long been recognized as efficient ways of detecting and mitigating harmful programs. The attackers are using it because of this. Switch instead to machine learning-based techniques that can sort through vast amounts of data and discover minute irregularities before they grow into significant security issues. These tools can identify and stop a cyberattack before it starts in less than 20 milliseconds, preventing malware from running and infecting your environment.

Conclusion

This additional risk of assaults is a sign that we need to be extra careful and think about using robust cybersecurity solutions to protect our data. Organizations and users must consider this and aim for creating more secure systems because advanced systems necessitate sophisticated data security. After all, you must be able to tolerate global dangers and uncertainties in a setting that is unpredictable and changing quickly.

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CLOUD DATA, DATA and ANALYTICS , DATA PRIVACY, DATA SECURITY

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