The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs

VentureBeat - AI

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The agent security gap: 54% of enterprises have already had an AI agent incident, and most still let agents share credentials.

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Across 107 enterprises, AI agents are being given real access to systems and data while the controls meant to contain them lag behind.

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More than half have already had a confirmed agent security incident or a near-miss; only about a third give every agent its own scoped identity, and most agents still share credentials; and only three in ten isolate their highest-risk agents.

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The security stack is overwhelmingly borrowed from the model providers and hyperscalers rather than purpose-built for agents, spending remains a thin slice of the security budget, and enterprises are evenly split on whether their defenses are keeping pace with AI-enabled attackers.

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The result is an agent security gap — autonomous agents proliferating faster than the identity, isolation, and enforcement controls needed to hold them.This wave of VentureBeat Pulse Research examines how enterprises secure their AI agents: what tooling they run, how they manage agent identity and isolation, what has already gone wrong,...

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The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs.

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Across 107 enterprises, AI infrastructure spending is accelerating well ahead of the ability to see or steer its economics.

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Most organizations run their AI on a familiar base of hyperscalers and model-provider APIs, yet the next dollar is aimed at specialized compute almost none of them use today; a majority intend to switch or add providers within the year, many within a quarter.

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