As AI systems become integral to modern infrastructure, traditional cybersecurity approaches are proving inadequate to address the unique challenges posed by AI, leading to a need for a new security paradigm. Unlike static systems protected by conventional cybersecurity, AI systems are dynamic, complex, and difficult to predict, resembling black boxes that even their creators struggle to fully understand. This evolving landscape requires innovative security solutions tailored to AI's unique characteristics, as attackers increasingly exploit these systems using creativity rather than advanced technical skills. The text underscores the danger of relying on legacy security tools wrapped in AI enhancements, which can create a false sense of security, and emphasizes the need for a foundational rethinking of AI security strategies. The future of cybersecurity hinges on developing new tools and methodologies designed specifically for AI, paralleling the significant shift seen during the transition to cloud-based security solutions.