AI security demands a new strategy as attack surfaces evolve beyond traditional software, introducing unique vulnerabilities like data poisoning and model hijacking. CIOs must base their AI security on first principles: Confidentiality, Integrity, and Availability (CIA), integrated throughout the AI lifecycle. Key practices include thorough visibility of AI ecosystems, rigorous access controls, continuous anomaly monitoring, and securing the AI supply chain. A unified security platform is essential for holistic protection, fostering a culture of accountability for AI security at all organizational levels.