News • Insights • Analysis
Nowadays, cybersecurity companies implement a variety of methods to discover new, previously unknown malware files. Machine learning (ML) is a powerful and widely used approach for this task. At Kaspersky we have a number of complex ML models based on Read More …
Artificial intelligence (AI) is swiftly fueling the development of a more dynamic world. AI, a subfield of computer science that is interconnected with other disciplines, promises greater efficiency and higher levels of automation and autonomy. Simply put, it is a Read More …
The application of artificial intelligence (AI) across various industries has undeniably made significant improvements in the digital era. With the capability to interpret and make complex decisions based on data, AI technologies have enabled tasks or processes to function with Read More …
More than 200 firms contributed to our request for ideas on what the global tech trends will be in 2019. Here’s a synthesis of the main themes occupying the minds of the technorati this year. You may be surprised. This Read More …
Cybercriminals have become more and more creative and efficient in their efforts to successfully bypass network security. Reports of unauthorized network intrusions that have compromised enterprise security, resources, and data, plague experts on a day-to-day basis, and will continue to do so Read More …
The Carnegie-Mellon University’s Software Engineering Institute has nominated transport systems, machine learning, and smart robots as needing better cyber-security risk and threat analysis. That advice comes in the institute’s third Emerging Technology Domains Risk Survey, a project it has handled Read More …
