A recent incident involving the fraudulent transfer of $25 million at Arup, facilitated through AI-generated deepfake video calls, highlights the sophisticated capabilities of generative models in mimicking voices and faces. This trend is contributing to an alarming rise in fraud, with Deloitte projecting potential losses of up to $40 billion in the US by 2027. For AI-driven companies, the challenge extends to real-time detection of fake media, enhancing authentication processes without impairing user experience, and maintaining trust metrics. To address these evolving threats, a multi-layered security approach is crucial, incorporating strategies such as real-time authentication verification, multi-modal biometric validation, content provenance tracking, and adversarial detection models. In addition, behavioral pattern analysis, cryptographic content signing, cross-platform verification networks, temporal consistency monitoring, and human-in-the-loop validation workflows are recommended to enhance security against increasingly sophisticated impersonation attacks. The Galileo observability platform provides tools for real-time threat detection, comprehensive audit trails, advanced guardrails, automated risk assessment, and integrated security workflows to help organizations fortify their defenses against such sophisticated threats.