One thing is certain: when it comes to data protection, what seemed sufficient until now will probably no longer be the case in 2023, for a number of reasons.
One of them is that, since the publication of the General Data Protection Law (LGPD) in 2018, the market has changed. What once seemed like a distant prospect is now becoming part of people's daily lives.
Summary
General data protection law also in the metaverse?
With the Internet of Things (IoT), data protection will also require adjustments
Be careful with privacy and data protection
After all, what is data protection?
Data protection: more than a trend, it will be an alternative to generate strategies
General data protection law also in the metaverse?
Brazilians, who are so connected to innovation, are increasingly being drawn to this virtual environment. This migration, although not so intense, is constant. So much so that experts say that, in three years, 25 out of every 100 people will spend at least one hour in this new reality, shopping and carrying out their routine activities.
In fact, the metaverse has already been kuwait whatsapp number code identified as a space for experiences and learning. With an eye on this potential, large stores are expanding their domains to this environment, with the expectation that it will be more than just a relationship channel, but also a means of sales.
In this way, the data protection law will extend to the metaverse because more data will circulate, such as data related to the appearance that people will assume in this environment, the way in which they will expose their personal data, etc. This will require companies that are in this reality to have greater capacity to handle data in order to protect it, so that it is not exposed or commercialized illegally.
With the Internet of Things (IoT), data protection will also require adjustments
In addition to the metaverse, another reality changing behaviors is the Internet of Things (IoT). We will be increasingly connected, whether through smartphones, wearable accessories (such as glasses and watches), or other devices that are still under development.
This hyperconnectivity is revolutionizing the way humans interact with technology, how they consume it and, of course, how their data is exposed on the network, representing new challenges for data protection experts.
A survey carried out by the consultancy Market and Markets reveals that the IoT market is expected to grow from US$385 billion in 2021 to US$566.4 billion by 2027. This growth will be the result of a series of factors, such as the advancement of 5G technology, the emergence of more platforms for cloud storage and even better solutions that will come with IPv6, the most current version of the internet protocol.
In Latin America alone, the number of IoT connections will jump from 536 million to over 1 billion by 2025. Given this growth, doubts about sharing data through new devices that will be directly connected to the internet are also increasing. So what should we do?
In this area, data security professionals will need to look for solutions that allow them to expose information, without leaving protection aside, since the lack of data security can be an enemy.
Be careful with privacy and data protection
Governments and businesses will be even more challenged in 2023. As products and services expand, concerns about data protection will grow proportionally.
Emerging technology is leading to the creation of more protective mechanisms, like a virtuous cycle. Just look at Safety++, an IoT ecosystem of connected wearables to improve workplace safety in the energy sector, which was already being studied by the Massachusetts Institute of Technology (MIT) in 2017.
As safety is a serious concern in the energy segment, even with all the equipment protection and protocols, behavior is still the main cause of incidents. And that is what led to the development of Safety++.
In the case of companies and governments, the challenges involve dealing especially with Artificial Intelligence (AI), a strong trend for 2023. How can we ensure that the algorithms used respect privacy and data protection?
How can we control access to the amount of assets required for AI to offer the most effective services and products to the sales, finance and even government sectors? The more information available that allows for the detection of patterns, the better the performance of AI, as well as the digital security and data protection mechanisms.
After all, what is data protection?
It is true that data protection, the process of safeguarding information that may be lost or used inappropriately by others (companies, people, etc.), has advanced in the country with the General Data Protection Law (LGPD).
However, the challenges imposed by new technologies (metaverse, IoT or AI) require constant improvement on the part of technicians who store and handle sensitive data.
Some of these issues (some of which have already been, to some extent, covered by the LGPD) are being analyzed by parliamentarians in the form of Bills. One of them is Bill 5051/2019 , which is being processed in the Federal Senate and establishes the parameters of AI that require human supervision to be more reliable, or even Bill 21/20 , which defines a legal framework for AI in the country.
What we can conclude is that as technology advances, we will need to be even more vigilant and adaptable. We will have to continually examine data protection regulations to curb the misuse of these assets.