Francis deSouza, COO of Google Cloud, emphasizes AI's role as a defender's advantage, not just an attacker's tool. Attackers are leveraging AI for faster, more sophisticated attacks, evidenced by AI-built zero-days and rapid attack stage transitions. However, defenders possess a critical advantage through deep context, understanding their network's complete internal state compared to attackers' limited external view. Google AI Threat Defense synthesizes fragmented enterprise data into a unified, autonomous defense system. This platform, combining Gemini, Wiz, CodeMender, and Mandiant, operates on a four-stage framework: prepare, scan, remediate, and monitor. Wiz maps vulnerabilities, Gemini analyzes risks, CodeMender auto-generates code fixes, and AI agents monitor for threats. Morgan Stanley significantly reduced threat detection time by adopting this unified approach. While AI offers machine-speed defense, strategic human oversight remains essential for managing autonomous agents. Securing AI infrastructure necessitates a secure-by-default, AI-native, and agent-driven approach from the ground up. This foundation is crucial to counter both external threats and internal risks like shadow AI, reinforcing the principle of Zero Trust for AI.