Cybernetic Preservation in presence as well as in future is not addressed without the so-called Threat Intelligence that identifies known attackers and without real-time behavioral analysis that, in combination with machine learning and artificial intelligence, assesses communication in computer networks and user behavior. In conjunction with automation tools and classification mechanisms, it is now possible to shorten the reaction time to compromise safety from months to minutes, while at the same time obtaining the necessary data for forward-looking steps that enhance prevention. For both public and corporate organizations, this is the only way to comply with new stringent regulatory requirements, such as avoiding fines and a fiasco, which typically follows the release of sensitive data, or the malfunctioning of services for citizens or customers.
Sign in to Autumn ITAPA 2024
Roman Čupka has been working in the field of information technology, information and cyber security for more than 15 years. He currently holds the position of Chief Consultant at Flowmon, which has been part of the international company Progress since November 1, 2021. He brings companies and public administration organizations modern solutions for building monitoring of IT infrastructure with regard to compliance with legislative requirements. In recent years, he has been working on technologies that use artificial intelligence, machine learning and automation methods to ensure the availability and quality of services, business processes and IT security operations.
See more info about the speaker