9 application security startups combating AI risks
For the past several years, application security has been organized around a relatively stable model: developers write code, pipelines build and test it, and runtime controls attempt to catch what slips through. Each stage had its own tools, its own teams, and its own assumptions about where risk lived. That model is breaking. At RSAC 2026, the most interesting startups weren’t just adding “AI” to existing categories. They were responding to a more fundamental shift: AI is compressing the software development life cycle, blurring the lines between writing code, deploying it, and operating it. In many cases, those steps are now happening simultaneously, or being driven by the same AI agents. The result is not just more software. It’s a collapse of security boundaries. And when those boundaries collapse, so do the traditional control points security teams have relied on. Across the early-stage and next-stage exhibitors at this year’s conference, a familiar pattern is picking up speed. Se