As 2025 comes to a close, artificial intelligence (AI) is a clear throughline across enterprise organizations. Many teams are still in the thick of implementing AI or deciding where and how to use it. Keeping up with usage trends and developments on top of that has become increasingly difficult. AI innovation moves fast and LLMs permeate core workflows across research, communication, development, finance, and operations. Security teams are left chasing risks that shift as quickly as the technology.Zscaler ThreatLabz publishes annual research to help enterprises make sense of the fast-evolving AI foundation model landscape. The upcoming ThreatLabz 2026 AI Security Report will provide visibility into organizational AI usage, from the most-used LLMs and applications to regional and industry-specific patterns and risk mitigation strategies. What follows is a sneak peek into some of this year’s preliminary findings through November 2025. The full 2026 AI Security Report, including December 2025 data and deeper analysis, will be available next month. The data and categories shared in this preview reflect the current state of our research findings and are subject to be updated, added to, excluded, or recategorized in the final report.OpenAI dominates enterprise AI traffic in 2025Figure 1. Top LLM vendors by AI/ML transactions (January 2025–November 2025) OpenAI has held the top position among LLM vendors by an overwhelming margin to date in 2025, accounting for 113.6 billion AI/ML transactions, more than three times the transaction volume of its nearest competitor. GPT-5’s August release set a new performance bar across coding assistance, multimodal reasoning, and other capabilities that integrate into business functions. Just as importantly, OpenAI’s expanded Enterprise API portfolio (including stricter privacy controls and model-isolation options) has solidified OpenAI and GPT-powered capabilities as the “default engine” behind countless enterprise AI workflows. Everything from internal copilots to automated research agents now lean heavily on OpenAI’s stack, keeping it far ahead of the rest of the field.OpenAI’s dominance carries important implications for enterprise leaders, which will be explored in greater detail in the upcoming report:How vendor concentration impacts risk: The heavy reliance on OpenAI underscores growing vendor dependency within many organizations; transaction flow data shows that businesses may be relying on OpenAI even more than th
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