That obviously begs the question: What does that priority shift for data privacy and end users? Should we resign to the digitization process our lives are going through to keep our privacy? Of course not. Companies are already working on ways to ensure privacy in our increasingly digital world and are mainly investing in the hottest tech right now. I’m talking about artificial intelligence (AI).
The Future of Data Privacy Belongs to AI
According to a 2019 study by country wise email marketing list Gartner, 40% of privacy compliance technology will use AI by 2023. This figure alone comes to show that companies see AI algorithms as their best allies in their mission to protect data privacy.
It makes sense. We are generating such a massive amount of data, that manually securing it is nothing short of a utopia. How can you expect a manual approach to guarantee the security and privacy of the 71 zettabytes’ worth of data we’ll generate by the end of 2021? That’s why integrating AI algorithms for safeguarding data privacy feels so natural—the very nature of AI-driven solutions is to process and analyze vast amounts of data in a very short period of time.
By turning to these algorithms, companies are looking to set up barricades to prevent attacks, breaches, and leaks while ensuring maximum privacy for their data and that of their users. That’s why so many people believe that the future of data privacy belongs to AI. And why some of them are already building that future today.
How AI Can Make a Difference for Privacy
To truly understand how AI can online optimization thanks to big data make a difference for data privacy, it’s important to comprehend the challenges we’re facing today. While there might be some edge cases across diverse industries, the reality shows that organizations have 2 major issues to deal with: varying regulations around user data and user activity volume.
On one hand, there are regulations that apply to different industries, countries, and regions. Buying something online or even working remotely can mean that the data we share has to comply with different regulatory frameworks, which is a huge challenge for companies to tackle. On the other hand, there’s the countless user activities that happen simultaneously, which can turn the authentication process into a nightmare.
AI can help with both of those things
An effective algorithm can dynamically take care of multifactor authentication and access control through an adaptive saudi data approach. Thus, the AI can adapt to the users’ behaviors and desires at any given moment depending on predefined criteria. Thus, the algorithm can automatically check the regulations in place, the permissions requirements, and the users’ preferences to frictionlessly log in to any service.
The best thing about it is that it isn’t an invasive approach. Companies and organizations can be sure that they are complying with whatever regulations apply to them while users can rest assured that their privacy preferences aren’t violated at any given time, even if their data goes through different service providers.