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Dell says it has delivered more than 6,500 AI Factories to customers across nearly every industry, and it has paired that milestone with commissioned research from Omdia on how enterprises are securing the AI they run on that hardware. The headline finding is that 98% of organizations are already using or developing agentic AI for IT operations, which moves the security question from pilots to production, and the rest of the study is about how far the safeguards trail the adoption. Survey Metrics Expose Governance and Risk Disconnects Omdia found that 79% of organizations had an AI-related incident in the past 12 months, including agentic-specific failure modes such as excessive agency, prompt injection, and unpredictable tool usage. Against that, 95% of respondents said they are confident or very confident in their ability to manage AI risk. The gap shows up in practice: 24% of organizations still govern agentic AI permissions through manual processes, while the agents themselves act at machine speed. Policy compliance shows similar divergence across enterprise boundaries. While 93% of organizations that permit public generative AI use maintain formal usage policies, 55% of security leaders assess that employees violate those guidelines. Budget authority for AI security software remains fragmented: CTOs hold primary purchasing authority at 37%, followed by general IT leadership at 26% and CISOs at 22%. Furthermore, planned spending increases over the next 12 to 18 months lack focus, with no single investment category exceeding 40% of planned capital, with AI threat detection tools hitting the 40% cap. Infrastructure Isolation and Recovery Orchestration On where the agents run, nearly four in ten organizations deploy agentic AI in on-premises data centers and 43% use on-premises edge environments, and roughly a third isolate those workloads with sandboxing or air-gapping. That on-prem weighting is why the survey is useful to Dell: the 6,500 AI Factories are the infrastructure those organizations are describing. On the recovery side, 87% of respondents rated threat detection and response tools as effective or very effective for securing AI, and 88% said the same of backup and recovery for AI resilience. Dell’s argument is that detection alone isn’t enough once an agent or its data has been tampered with, and that backup and recovery has to be able to restore the AI application, its models, and its data to a known-good state. Its closing line is that the difference between scaling and stalling comes down to whether security and resilience were built in from day one or bolted on afterward.
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