Juan Manuel Corchado has given a talk at the Imam Abdulrahman Bin Faisal University of Dammam (Saudi Arabia), at the invitation of the Aramco Chair of this institution. The talk was on ” Boosting IoT and Industry 4.0 Security with AI-driven SIEMs”. In this case, the professor spoke about the relevance of ensuring security in IoT environments and the tools available for this purpose.
At the BISITE Research Group and the AIR Institute we are involved in a growing number of projects related to all levels of cybersecurity. Companies like Aramco are investing heavily in this field, so it was an excellent opportunity to show some of our proposals.
During the talk, Juan Manuel Corchado presented the DeepSIEM platform, which is capable of centralizing an organization’s logs and analyzing them in real time in search of threats using self-explanatory and evolutionary Artificial Intelligence.
This platform’s early response system makes it possible to mitigate attacks automatically. Together with the threat intelligence component, the system provides information from the analyses performed by the models, which furthers understanding as to the type of attack that may be occurring. In addition, DeepSIEM has a comprehensive and intuitive interface that enables data monitoring, reporting, alert and asset management. DeepSIEM has been developed as part of a research project, designed specifically for industrial environments, IoT, connected industry, etc.
The use of SIEM (Security Information and Event Management) software provides companies with threat monitoring, event correlation, incident response and reporting. These elements are essential in today’s world, which is subject to serious, constant and evolving cybersecurity threats. SIEMs collect, centralize and analyze log data from all enterprise technology, including applications, firewalls and other systems. They then alert the IT security team to failed logins, malware and other potentially malicious activity. We believe in marrying 21st century Artificial Intelligence (AI) and new Machine Learning (ML) models with cybersecurity tools; a union that should become a reality in the future, bringing security to IoT environments, factories and Industry 4.0.
