AI FinOps & Security: Crucial for Enterprise AI Scaling

Enterprises need unified cost and security controls to responsibly scale their use of AI agents. Currently, many organizations address AI spending and safety concerns separately. This makes it difficult to solve either problem effectively. Here's the thing: most engineering leaders can't predict next month's AI bill. A recent report found that 72% of organizations had unexpected spikes in AI costs over the past year. This happens because few have real-time visibility into the models and workloads driving their spending. This lack of visibility means nearly a quarter of AI spending generates no measurable business return. For example, a single AI task at Amazon exceeded its budget by $1.8 million, 860% above projections. What's interesting is that this isn't just about money. Many security teams also can't identify every large language model operating within their systems. This means they can't secure what they can't see, leading to unauthorized agents accessing data or performing unintended actions. The bottom line is that without better visibility and unified controls, enterprises face significant financial and security risks as they adopt AI.