As AI technology advances, security threats grow, exemplified by the recent discovery of a cyber attack method called Imprompter, which enables hackers to embed malicious instructions in AI models to gather sensitive information. Enterprises are increasingly concerned about privacy, with over 70% of CIOs citing it as a top concern for generative AI. A private AI deployment is highlighted as an effective solution to mitigate these threats, as it creates an air gap between an organization's data and external entities, allowing for compliance with regulations and customized security measures. This approach is exemplified by the Royal Bank of Canada, which has implemented a private AI workspace to enhance productivity while maintaining data security and privacy. The balance between security, privacy, and performance is crucial, with various deployment options available to tailor solutions to specific business needs.