Coming out of Black Hat and Hacker Summer Camp, I have found myself thinking less about individual products and more about what the enterprise security architecture of the next several years will actually look like. AI dominated nearly every conversation in Las Vegas, as everyone expected, but focusing exclusively on “AI security” misses the much larger transformation taking place.
AI isn’t simply introducing another category of security tooling. It is changing how software is developed, how employees work, how attackers operate, how vulnerabilities are discovered and exploited, how businesses make decisions, and ultimately how CISOs need to think about the architecture and operating model of the security program itself.
For years, we built security programs around defense in depth. As threats evolved, we added controls, purchased specialized technologies to solve specialized problems, and integrated them as best we could. That model isn’t disappearing, nor should it. However, AI is exposing some of its weaknesses, particularly the operational friction created when dozens of products understand only a small piece of the environment and our practitioners are left stitching together the context.
The question I left Las Vegas asking myself was straightforward: Where do I still need the best point solution, and where does the future belong to platforms?
