Development of AI in Information Security

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By 2030, AI technologies in the field of information security will be able to develop into truly fully functional ecosystems. Absolutely every means of information protection will contain various elements of AI. Moreover, all these elements will have a comprehensive idea of ​​the functioning of related components, all solutions will begin to interact with each other. Such an approach will require serious standardization in the field of developing information security solutions using AI technologies, but the recently emerging vector of work of the expert community in this area shows a movement towards creating a trusted environment for the use of AI in information security.

We should not forget about the development of other technologies, such as the creation of digital twins. Such technology will allow having a complete digital "copy" of the information system, in south africa mobile database various AI solutions will allow conducting a wide range of experiments to assess the impact of influences on the system in real time. This can be perceived as a "sandbox at maximum settings."

Five Problems with Cloud Databases—and How to Fix Them
05.02.2024
Cloud databases are a must-have tool for companies looking for effective data management solutions in an evolving IT landscape. Like any other technology, cloud databases have pros and cons that may influence your decision to implement them, writes Sharon Kislyuk, lead product manager at Apono, on The New Stack.

Below, we'll look at some of the common benefits and challenges of cloud databases, and discuss how to overcome the latter to take advantage of the former.

Five Benefits of Cloud Databases
As the name suggests, a cloud database runs on a cloud computing platform and provides access to the database as a service.