When we talk about privacy and security, the basic definition revolves around having the rights to seclude oneself and to protect oneself from the outer threats. Privacy has always been recognized as a big requirement of human rights practices that include freedom of choice, freedom of association, and freedom of expressions.
The new age, however, puts the privacy of many people at risk. This is because there is a limited amount of control that the general public has over the way with which their data is being transferred, modified, stored, or exploited by hackers.
Truly, the biggest risk that which the privacy of the general public faces, is that of security and cyber threats on the internet. This is because with the development of technology, the importance of data has been boosted up really high. As a result of this, hacking techniques also become very progressive.
Atop that, there is an increasing number of devices that are connected to the Internet of Things. However, these devices are extremely insecure when it comes to the privacy of the data. Large enterprises happen to be at the risk of a hack attack at all times, as it happened to Facebook, Verizon, and Uber quite recently.
Fortunately enough, it is possible to find solutions to these problems. In the coming year, we can expect to see a big amount of transformation in the world of cybersecurity. This is because recent developments in machine learning will provide a predictive and probabilistic approach in order to ensure the security of the data. Atop that, various techniques such as the behavioral analysis will be implemented that allow artificial intelligence systems to foresee and stop a cybersecurity attack that could bypass a system.
Another technology known as the Zero Knowledge of Proof that was introduced to us by the Blockchain is expected to undergo further developments in the coming year. Similarly, CARTA, which stands for ‘continuous adaptive risk and trust assessment’ is an approach that revolves around the constant evaluation of the trust level and then this is something that can apply to every participant in a business, which ranges from a company’s partner to its developer. While the security and privacy are still quite vulnerable, we have great expectations from artificial intelligence in the coming year.
Currently, the biggest challenge that artificial intelligence faces with respect to improved privacy and security is to protect all the training data that machine learning models use. It is possible for hackers to carry out some reverse engineering in order to get the data of a user out of a machine learning model.
Since many machine learning models are moving to the cloud, the entire situation gets far complicated. At the very same time, users have to send their data to the central network safely, and privately. Moreover, there are many cases in which organizations may look for personal data in order to conduct some machine learning research. In this case, the clients may contribute the work without a compromisation of the privacy. This is yet another challenge that still needs to be looked into.