The advent of generative AI within consumer-grade tools fired-up the world’s imagination this year, as organizations weighed the risks versus rewards of its use. While these new and untried uses of artificial intelligence were being unceremoniously released to the masses, more tenured forms of AI quietly extended their reach and usefulness to the enterprise, rooted in tried-and-true applications that organizations have come to trust and rely on for their day-to-day operations.
One of the most widely adopted areas of enterprise-grade AI is in the area of cybersecurity, where predictive AI has reigned for almost a decade. In fact, the abundance and frequency of zero-day attacks have made it more crucial than ever for organizations to turn to predictive AI to heighten their defenses.
Which “Flavor” of AI Is Right for Me?
The growing variety of AI and its proposed uses has created an increasingly confusing landscape for IT and cybersecurity leaders. That’s why we turned to BlackBerry Vice President of Product and Technical Marketing Paul Zimski to help sort things out.
As Zimski explained to me during a video interview at the Black Hat 2023 conference, there are two main “camps” of AI applications, from a cybersecurity perspective: predictive and generative.
“There are the (predictive) models that defend you proactively, and do so automatically — and also the (generative) models that help you as a human being understand what you're looking at, come to conclusions, and decide on actions.” Zimski continues, “At BlackBerry, we definitely think that there's a need for both in cybersecurity.” This explains why the company holds more AI-related patents than competitors, and those patents are in both predictive and generative AI.
In fact, BlackBerry recently announced an innovation that acts as a generative AI-powered SOC Analyst to increase efficiency and reduce fatigue for CISO teams.
Watch my complete interview with Zimski during Black Hat 2023, below, or keep reading for some important excerpts.
