Artificial intelligence (AI) is revolutionizing business operations, driving productivity, competitive advantage, and operational efficiency. However, the unique demands of AI workloads introduce significant security challenges that traditional tools are ill-equipped to address. With almost half (47%) of organizations citing AI as a critical skills gap in their teams and another 37% of organizations citing cybersecurity skills as a constraint, organizations are struggling to balance the business desire for immediate AI deployment while enabling constrained security teams time to assess the novel risks associated with the technology (see Figure 1).1 Once the risks are understood, security teams will move forward addressing gaps in their security strategy, tools, and operations; either themselves or in collaboration with key partners to protect their use of AI. As businesses increasingly rely on AI for mission-critical processes, the risks of compromised or inaccessible AI systems grow exponentially, threatening not only operational continuity but also revenue, reputation, and long-term competitiveness.