As per the predictions by Gartner, Hyper Automation will be the top technical buzzword of the year 2020. Therefore, it is important to know the basic concepts of Hyper Automation and how it affects other technological components like Data Security. The point to note down here is that the introduction of Hyper Automation was to automate more manually-done work and save time for other endeavors. So, we’re going to explore how this Hyper Automation will degrade Data Security in the upcoming future. Are you ready to move into the depth of Hyper Automation?
What is meant by Hyper Automation?
As per Gartner:
Hyper Automation is the application of advanced automated technologies like Machine Learning (ML) and Artificial Intelligence (AI) to augment humans and automate complex processes.
The implementation of AI, RPA or other such technologies eliminate the chances of blunders caused by humans at both micro or macro level. Hyper automation is the process that would be useful not only in tech-based industries but also in the finance, education, or industrial sector.
How Hyper Automation degrades Data Security
Sharing of Data with machines to automate the processes is the primary step in Hyper Automation. This data is also shared sometimes to protect the secret information from potential threats. This process is what we call “Black Hat Hacking.” One practical use of this degradation of Data Security is the unwanted spread of the Ransomware virus. This virus encrypts the confidential data on the user’s computer and the user can not retrieve back the data unless he pays a handsome amount for a decryption tool.
Not only this, the newly introduced models of AI and ML which facilitate the completion of tasks at mere clicks are also prone to these kinds of threats. For instance, when your devices get automatically connected to a public Wi-Fi, you’re more prone to these attacks. Your Data Security is then at a higher risk than it is during normal conditions. So, you see how Hyper Automation actually facilitated the breach of Data Security? But some preventive measures can still ensure Data Security.
Let’s check out what are these.
Data Security and Data Protection Measures
With the increasing need for AI, AI security must be the topmost priority of enterprises and tech industries. This can be done by making sure that AI does not get manipulated by attackers and not breach its Data at the most sensitive time. An important update in 2020 which ensures this step is the up-gradation of the AI system so that it informs the user about its actions and decisions if they’re manipulated by an external source, thus making it possible for Security Analysts to review the situation and correct it in real-time.
The second important step taken to ensure Data Security is the introduction of GDPR (General Data Protection Regulation) and the Data Protection Act in 2018. This act ensures the privacy and integrity of the Data which is held safe at organizations. As per this act, individuals like employees or customers have full access to their data and they can rectify it whenever they find it necessary.
The most widely accepted and reliable methods of Data Security were once Antiviruses. But now, it’s AI-based Antivirus which offers advanced Data Protection. The approach of working on AI-based Antivirus is different from that of traditional antivirus. It uses advanced mathematical algorithms to understand the abnormality in the functioning of a given system. Moreover, it is designed to take necessary actions against that abnormal behavior in the stipulated time.
Data Breach is surely a problem with the introduction of Hyper Automation. But we can’t deny the fact that Hyper Automation is an unavoidable trend. It is the only method that will speed up the evolution of tech-based inventions. In the upcoming future, Data Spill or Data Leakage (or what we call Data Breach here) might still be a problem, but by following the right preventive measures and security rules (Data Protection Measures), absolute Data Security would no longer be a dream but reality!