Cybersecurity was built for predictable systems. AI changes the rules

AI systems challenge traditional cybersecurity because they behave unpredictably, unlike the deterministic (consistent and predictable) systems that security programs were designed around. Traditional security approaches focused on preventing attacks before systems go live, but AI agents make dynamic decisions and interact with external tools in ways developers can't fully predict, meaning security risks emerge at runtime (while systems are actively running) rather than being preventable beforehand. Additionally, AI-assisted development tools are accelerating code production, compressing the time security teams have to review and understand what enters production.