Mandiant’s white paper stresses that securing AI requires building protections into systems from the start, guided by Google’s Secure AI Framework (SAIF). Key pillars include extending traditional security to AI ecosystems, detecting and responding to AI-specific threats, and automating defenses while keeping humans in the loop. Organizations should harmonize controls to avoid fragmentation, adapt defenses through red-teaming and feedback loops, and contextualize risks within business processes. Strong governance, model inventories, data lifecycle controls, and clear responsibility sharing are critical. SAIF helps align security, compliance, and resilience as AI adoption accelerates.

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