Pesquisa revela que 80% das pessoas acreditam que a inteligência artificial e as tecnologias de aprendizado de máquina ajudarão na luta contra ameaças de computação

Researchers from security company ESET have spent the last few months thoroughly analyzing artificial intelligence (Machine Learning - ML) and the role it actually plays in the fight against cyber threats. After the research, the company announces the publication of a report titled "The era of machine learning in cybersecurity: a step towards a safer world or on the brink of chaos?" Last year, the same company conducted a survey in which 82% of respondents believed their companies had already implemented a cybersecurity product using Machine Learning (ML), and only 23% of them said they do not plan to implement an ML-based cybersecurity solution in the future. And a more important piece of data: 80% of respondents also believe that ML already helps or will help their organization detect and respond to threats more quickly, and 76% of respondents agree that these technologies will help solve the cybersecurity skills shortage problem in their workplace. ESET researcher Juraj Jánošík, an artificial intelligence expert, says that although machine learning has transformed various fields of human activity for some time, its potential for total transformation still needs improvement. ML-based technologies will increasingly help fight fraud, evaluate and optimize business processes, improve testing procedures, and develop new solutions for existing problems. However, like most innovations, even Machine Learning has its downsides. "Both business and our personal lives are increasingly involved in the digital world – with that, new risks emerge. Cybercriminals can use ML in various ways: to improve their malware, target specific victims and extract important data, search for day-to-day vulnerabilities, or protect hijacked infrastructures like botnets," says Jánošík. Source: Security Report