The rise of AI-driven deepfakes is creating challenges for identity verification, forcing CIOs and IT leaders to understand the impact on identity management processes. The process typically involves submitting a photo ID and taking a selfie for biometric comparison. However, deepfakes pose a risk by allowing attackers to present fraudulent identities. To combat this, organizations should ensure their identity verification vendor uses robust liveness detection during the selfie step, actively prompting users or passively evaluating micro movements. Additionally, leveraging AI can enhance the process by training algorithms to detect deepfake attacks more accurately and addressing issues of demographic bias. Collaboration and vigilance through partnerships and bounty programs are also crucial for staying ahead of potential deepfake adversaries.