Towards Autonomous Security: A Solution for the Evolving Threat Landscape

In today’s dynamic and interconnected world, the pace of change is accelerating at an unprecedented rate. As our systems and technologies become increasingly intelligent and automated, we are presented with new opportunities and challenges. The growing interconnectivity in every aspect of life has undoubtedly enhanced convenience and efficiency, but it has also introduced vulnerabilities, paving the way for emerging cyber threats.

This seminar aims to explore the pressing need for automation and intelligence in our security systems to effectively combat the ever-evolving threat landscape. We will delve into a cutting-edge solution – an autonomous security system capable of not only identifying new, previously unseen threats but also autonomously learning from them without any human intervention.

The key focus of this seminar will be on the concept of incremental learning and the open world recognition problem. We will discuss how this innovative security system addresses these challenges. By adapting to new threats as they emerge and continuously updating its knowledge base, this autonomous system ensures that it remains vigilant and capable of defending against even the most sophisticated and novel attacks.

Co-sponsored by: MUHAMMAD USMAN ASAD

Speaker(s): IRFAN,

Virtual: https://events.vtools.ieee.org/m/376288