The COVID-19 outbreak has brought about a major turnaround in the work environments of organizations worldwide. As is especially evident in IT and software companies, it has acted as a major catalyst for the adoption of cloud technology on a global platform.
Thanks to many companies moving their operations online amidst COVID-19, a fast-developing work-from-home culture has brought about exponential growth in cloud technology.
Of course, building upon new technology entails associated security risks and the cloud is no exception; in fact, security remains one of the biggest concerns when looking to upgrade to an enterprise cloud computing platform.
To fully utilize the agility cloud brings within day-to-day operations, careful management between cloud strategy, cyber security, and data migration into the cloud is a must. All these involve setting up a powerful system of risk management built upon best practices for cloud security.
This may seem a trivial step but is in fact one of the most looked over steps in employing a successful cloud strategy. Around half of the databases remain open to external attacks due to poor or no encryption of data.
Since dynamic IP addresses and cloud resources are constantly being created, it’s a good idea to correlate your vulnerability data with the configuration data and identify vulnerable hosts in your public cloud setup.
Setting up an access control system for your cloud databases is a crucial element in ensuring data isn’t shared across unapproved devices. It also helps protect from internal attacks ensuring limited or view-only access to sensitive company data.
Mishandling of cloud data by uneducated employees or any external attacks on cloud servers can show up as malicious user behaviour. Setting up user behaviour analytics is an important step towards identifying these actions and mitigating data breaches.
A more generic albeit important factor in mitigating cloud risks is security training among employees to help identify and act upon cloud breaches and other cyber threats faster.
AI and other machine learning applications have seen an unprecedented rise in digital business, and are expected to play a similar role in the cloud security scene. Massive amounts of data can be sifted through and analyzed by AI to sort them into blocks of data with increasing levels of security as needed.
Moreover, data based on previous breaches can be fed into AIs to set up early warning systems for identifying unknown threats to the cloud server.
ZTNA technology enables companies to exercise remote control over applications by hiding applications on the internet behind the veil of a secure ZTNA service provider’s cloud service. This fends off remote attacks on servers by hackers utilizing or hiding behind a VPN service.
Another field closely related to AI is automating routine tasks related to the upkeep of a cybersecurity network. Delegating cumbersome tasks to ML-enabled applications will help reduce the load on strained cloud networks.
Modern cloud computing is no longer the domain of small tech startups but bigger organizations, financial services, banking, and even government offices are investing in cloud platforms.
The rush towards adopting a cloud platform (even more so during COVID-19) will make traditional security vendors invest in cloud security as well as new companies emerge to solely cater to native cloud security.
Our gold partnership in Oracle and Microsoft technologies has lent us years of experience in delivering customized cloud solutions. Keeping in mind price-sensitive markets for small-to-medium-sized businesses, our dedicated teams help you develop a clear roadmap to enter into or upgrade your cloud platform while delivering quality SupraES assurance.