Artificial intelligence and machine learning, in addition to the benefits they bring, carry certain risks – same as any other technology. Of particular importance are the risks associated with the security of these technologies, which, if left unaddressed, can have far-reaching negative consequences. For example, a significant proportion of today’s cyberthreats are due to the fact that initially, when designing many computer systems, engineers did not properly think about cybersecurity. Artificial intelligence technologies, although already bringing many benefits, are now at those stages of development when it is still possible to influence them to be secure in the future. There are a number of measures and techniques that need to be used in the development of systems using AI and ML in order to eliminate many security risks and make the systems being created reliable and stable. The story will focus on proposals for such measures, which are also used in our development processes.