The enterprise cloud landscape has undergone a seismic shift in just the past 12 months. What began as cautious experimentation with generative AI has evolved into full-scale integration across business units. From marketing and legal to customer support and software engineering, AI-driven tools like ChatGPT, Microsoft Copilot, Claude, and Gemini are transforming how work gets done—faster, smarter, and at unprecedented scale.
The goal of the Cloud Adoption and Risk Report: Enterprise AI Adoption & Security Risk is to provide a blueprint for securing the modern AI-powered enterprise backed by real-world insights, trends, and best practices from across the globe.
Powered by anonymized telemetry data across 3M+ users, 40,000+ cloud services, and 2B+ daily events, this year’s report dives deep into:
- The rise of Shadow AI and the unsanctioned use of generative apps in the enterprise
- The growing attack surface of large language models (LLMs), including prompt injection hallucination, and data poisoning threats
- The emergence of private AI workloads and the need for secure LLM deployment
- How leading organizations are adopting AI-aware policies to balance innovation with protection.
Examples of key findings from the report:
- AI adoption is surging, with traffic to AI apps up 200%
- Shadow AI use is widespread, with over 320 unsanctioned AI apps being used on average per enterprise
- LLM risks are pervasive, with 94% of AI services vulnerable to one or more LLM threat vectors
The enterprises that will succeed in this new era are those who recognize that AI and security must go hand-in-hand. Download the full report to learn more.
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