Cybersecurity Trends to Watch in 2022 - Ardian Technologies
The years 2020 and 2021 were outliers for many organizations. From being unprepared to enable remote working in the early days of the COVID-19 pandemic to accelerating cloud migration and security of the remote (and hybrid) workforce, organizations and their IT teams had to undertake dramatic measures to ensure their cybersecurity.
As organizations enter the budgeting season for 2022, it is critical that CIOs take stock of their existing solutions, examine their roadmap to assess future needs. This is even more critical today as the workforce is likely to remain scattered for the foreseeable future, and organizations cannot afford to lose sight of their employee productivity, device and software vulnerability.
Cybersecurity Trends to Look Out for in 2022
Edge Computing: If cloud computing was among the biggest technology trends of the last decade, Edge Computing is about to rule the coming decade. With 5G networks being rolled out and high data usage all across the world , there is a strong desire to access and process the data quicker than what it has been so far.
Simply put, by using a distributed computing framework, enterprises can enable their applications to be closer to the required data. This way, applications can override its sole reliance on cloud processing and supplement it with local storage, processing and access. Accordingly, organizations can benefit from fewer bandwidth and latency issues that have been a concern with cloud computing so far.
The application of Edge Computing can cut across finance, supply chains, manufacturing and more industries where traditionally data is often inputted or captured at a local level and then transferred through cloud services before being churned by softwares. Edge Computing could enable the data churning & subsequently the results at local level, thus driving operational and process efficiency.
VDI and DaaS: CIOs must highly consider Virtual Desktop Infrastructure (VDI) or Desktop as a Service (DaaS) to support their now distributed workforce. As more organizations, including major Wall Street and Fortune 500 companies, further liberalize their remote and hybrid working policies, CIOs need to build secured operating environments for remote teams to collaborate and access information.
CIOs can enable a VDI framework through a secured onsite or a cloud server, which can create a virtual computer environment that allow users to run softwares remotely. Whereas in the case of DaaS, organizations can rely on third-parties to host, manage and secure VDI or related remote environments, therefore enabling their IT teams to have support rather than purely building the frameworks in-house.
End-User Computing: Related to VDI, end-user computing (EUC) enables organizations to bring applications or hosted virtual interfaces to end-users with relatively minimal technical implications. Whether it is on-site or remote, organizations need to arm their workforce with tools to collaborate, process or deliver results efficiently.
Accordingly, companies are now considering EUC approaches such as low-code or no-code development to enable their workforce to create applications and workflows through comparatively intuitive drag-and-drop mechanisms. EUC can also enable organizations to deploy tools based on the end-user’s role and responsibilities.
Machine Learning/Artificial Intelligence: Business processes are often built upon codes and algorithms. Organizations always want to further streamline and build upon their processes to drive efficiency through various stages.
Companies may have in-house teams which are constantly prodding at and deploying machine learning or artificial intelligence (ML/AI) enhancements, or relying on third-party softwares to do the same. However, these updates - both in-house or via third-party software - should not be released without testing. IT teams need to step in and enable programmers to build and test ML/AI solutions in virtual and sandboxed environments so as to observe the process and steer away from any real-time operational risks.