The integration of generative AI in DevSecOps enables teams to balance speed and security by automating and analyzing security tasks, reducing the risk created by AI-generated code. This approach promotes a culture of security, eases developers' burdens, and speeds up secure software delivery. Key benefits include faster vulnerability detection and remediation, increased developer productivity, and more efficient security operations. However, implementing AI in DevSecOps also presents challenges, such as planning effective rollouts, fine-tuning models with high-quality data, and ensuring humans remain involved to monitor recommendations. To overcome these challenges, leading teams follow best practices, including assessing workflows, establishing guidelines, selecting responsible providers, and reducing tool sprawl. Ultimately, AI-powered DevSecOps solutions can help minimize risk while accelerating secure software development.