Keeping up with threats is an ongoing problem in the constantly changing field of cybersecurity. The integration of artificial intelligence (AI) into cybersecurity is emerging as a vital roadmap for future-proofing cybersecurity, especially as organizations depend more and more on digital twins to mimic and optimize their physical counterparts.
It's that time of year again when the security delegates from Tech Field Day descend on Silicon Valley (well, in this case, descend virtually on Silicon Valley) to hear about the cool new things vendors are doing in the security space. This year, I was fortunate to be one of the presenters at XFD10 along with my partner in crime, Matt Honea, Head of Security and Compliance at Forward Networks.
In a recently released Cybersecurity Advisory, the National Security Agency (NSA) and Cybersecurity and Infrastructure Security Agency (CISA) highlighted the most common cybersecurity misconfigurations in large organizations identified through blue team and red team assessments. The advisory stated that these misconfigurations illustrate systemic weakness in many large organizations, including those with mature cyber postures.
Navigating the ever-changing technology landscape is challenging, especially with the constant influx of new technologies. The Gartner Hype Cycle methodology gives you a view of how a technology or application will evolve over time, providing a sound source of insight to manage its deployment within the context of your specific business goals. The Gartner Hype Cycle for Enterprise Networking, 2023 includes digital twin technology.