Artificial Intelligence (AI) is used for many tasks in the global digital domain. From customer service bots to virtual assistants, predictive analytics, HR portals, companion chatbots and numerous other applications, AI is literally everywhere around us in the global world.
The last 2 years have given us a much needed lesson on the development of the digital world. The COVID-19 pandemic has taught us that anything that we used to do in person before the pandemic can also be done digitally. Remote work was a distant possibility before the pandemic came, but a number of companies have taken their operations remote and have gone for a digitalized method of operations. From buying groceries to meeting new people, seeing the doctor and celebrating birthdays, almost everything is being managed online.
Now that the light at the end of the long COVID-19 tunnel is finally visible, it can be said that a number of things that we did during the pandemic are here to stay for long. With 5G deployment over the globe, the success of edge computing and the growth of IoT devices, it can easily be said that our lives in the future are bound to get a whole lot better.
Data Threats in a Highly Connected World
The idea of living in a connected world gives us immense passion and joy. But it also has to be said that there are certain data threats that companies and individuals may get to encounter due to the high connectivity in the world around us. There are constant threats looming over the privacy and security of our data, as almost everything is digital now and accessible to all.
The more digital our lives have become, the more we are exposed to the perils of the digital world. 2021 has seen a stark increase in data leaks and ransomware attacks around us today. The cyber world is prone to attacks, and our data seems to be on the radar.
Besides the misuse of data by brands, data breaches from external threat actors have also compromised the safety of sensitive customer information. It was recently found that sensitive customer data, including names, passwords, emails and numbers, were the most common data sources to be compromised in data breaches.
Companies around the world are working on ways they can follow to secure data, and AI has come up with a plausible solution. In this article, we take a look at how artificial intelligence can improve data privacy and the benefits it can provide for the future. Stick with us to find out how AI is determining the waves of change around us.
AI Holds the Future of Data Privacy
According to a recent study released by Gartner in 2019, almost 40 percent of all privacy technologies in the digital world will utilize AI by 2023. This figure and the rising trust of consumers in AI engines goes to prove that customers trust AI and the related algorithms for their work.
The use of AI and automated operations for securing data does make a lot of sense. The world is using such a massive amount of data today that it doesn’t make sense for us to manually update and secure this data. A manual approach will not only waste time but also make it difficult for organizations to improve data security measures.
Integrating AI-driven solutions in your algorithms can help update the security of your data stack and can also add an extra layer of privacy.
Companies can turn to AI algorithms to set up extra layers of protection against data breaches, leaks and attacks. The privacy that comes from AI protection is just what customers expect today and is something that can go a long way to improve customer trust in brands.
How AI Makes a Difference
One can only truly understand how AI makes a difference when they study the challenges in data protection and privacy faced by organizations around us. While the complications of data security and privacy vary across organizations, the two common challenges come in the form of user activity volume and variance in regulations around user data.
Organizations working globally are host to a number of regulations and industry standards, which are different in nature. AI can help organizations with all challenges, as the right AI algorithm can implement access control and multi-factor authentication to provide excellent services. The AI model can adapt to the behaviors shown by users and implement security measures based on that.
The best thing about the AI approach is that it isn’t invasive in nature. Companies and organizations have to be mindful of the security practices they implement because of the fine line between data security and non-compliance.
AI algorithms know how to segment data generated through e-commerce shopping sprees so that only the essential information is disclosed to providers. This means that the shipping company only gets your shipping information, and the payment gateway only gets your financial information needed to complete a transaction. Manually isolating this information from all providers during a typical transaction can be a hard task, but AI makes it possible through effortless operations.
AI Proving Its Worth
Artificial Intelligence algorithms can also help secure data present in different transactions beyond e-commerce. These algorithms make sure that all private data stored within servers comes with an expiration date, which can stop organizations from using data sources for ulterior motives long after the transaction has been performed and secured.
As is the trend with AI across the board, there are multiple applications for AI in data privacy and security. The technology has the potential to hand over the power and the control over data sources to people who actually own it. AI has raised the bar for data security and protection and has provided a pathway that organizations can follow in the time to come.
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