Cybersecurity can be a scary beast for any organization of any size. The stakes are high. The adversaries are sly. The landscape is always shifting.These challenges can be especially significant for small and medium-sized businesses that have limited resources in capital and specialized expertise.
The Philosopher Hericlitus once opined – “You can’t step in the same river twice,” implying that no concept remains static but is always churning and evolving.
Thanks to advancements in Artificial Intelligence (AI) and Machine Learning (ML) in the area of cybersecurity, small businesses and enterprise-level companies can stay focused and maintain a high level of digital trust from their customers while keeping overhead costs in check.
University of Arizona electrical and computer engineering researchers are training a future cybersecurity workforce and creating bioinspired methods for keeping computers secure.
Today, the average American leaves the house with a smartphone that has more computing power than the systems that landed humans on the moon. The Internet of Things (IoT) enables refrigerators to tell you that you’re running out of milk and cars to provide assisted driving. The reality is that the knowledge economy is in full swing, and the modern world’s relationship with technology has advanced to a state where nearly all aspects of our daily lives are touched by the internet.
As threats from the cyber and physical realms become increasingly prevalent and complex, enterprise security teams must arm themselves with an integrated approach to security operations—one that incorporates cybersecurity, physical security and advanced technologies such as artificial intelligence (AI) and machine learning.
Artificial intelligence (AI) and machine learning (ML) are being heralded as a way to solve a wide range of problems in different industries and applications, such as reducing street traffic, improving online shopping, making life easier with voice-activated digital assistants, and more.
The future of Artificial Intelligence (AI) depends on many factors. Advancements in computing power and the implementation of regulations are just two external influences that could significantly impact what AI will be able to do in the years to come. Before we get to the exciting future uses, however, it’s important to understand exactly where we are today. And that’s not as clear as it should be.
It is hard to believe that Global Security Exchange (GSX) 2019 is almost here. This year, it is anticipated that conversations will take a deeper dive into more intelligent security strategies and what their role is in the development of smarter infrastructures. Advanced security applications and data-enabled insights are a few main topics that will be top of mind for participants and attendees at GSX 2019.
