Artificial intelligence (AI), particularly generative AI (GenAI) and large language models (LLMs), are now central to enterprise innovation, as evidenced by Kong's 2024 API Impact Report, which highlights that 83% of surveyed developers and business leaders see AI investments as a catalyst for new products and services. Despite the widespread adoption of AI technologies, a significant challenge arises as 60% of employees reportedly bypass organizational AI usage policies due to the rapid pace at which these technologies are being integrated compared to the slower establishment of governance and compliance measures. As organizations strive to harness AI's potential, the importance of robust governance frameworks and tools such as AI gateways becomes apparent to ensure security and compliance without stifling innovation. Additionally, the interplay between AI and application programming interfaces (APIs) is crucial, underpinning the seamless integration and operation of AI within enterprises, where APIs facilitate the deployment and management of intelligent platforms. The report highlights a forecasted economic impact of $43 trillion by 2030 due to the synergy between AI and APIs, while also noting a predicted 548% increase in API attacks, underscoring the necessity for a strong API and AI strategy to mitigate vulnerabilities.