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AI governance shifts to runtime as always-on agents spread

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Autonomous agents now run around the clock across a sprawl of platforms, and controls built for deterministic software were never designed for them. “Governance is becoming very important, but it’s becoming hard as well in this world, just the pace at which the AI is getting adopted.”

As enterprises move from debating artificial intelligence adoption to deploying it, AI governance has become the harder question. At Dell Technologies Inc.’s “AI Leadership Symposium,” cost and control were recurring themes in enterprise […] The post AI governance shifts to runtime as always-on agents spread appeared first on SiliconANGLE .

UPDATED 16:02 EDT / OCTOBER 12 2026 AI AI governance shifts to runtime as always-on agents spread by Jonathan Anthony As enterprises move from debating artificial intelligence adoption to deploying it, AI governance has become the harder question. At Dell Technologies Inc.’s “ AI Leadership Symposium ,” cost and control were recurring themes in enterprise AI discussions.

The challenge is rationalizing overlapping controls and confirming that they work in practice, according to Shiv Agarwal (pictured, center), co-founder and chief executive officer of Singulr AI Inc. “Someone needs to really do some rationalization between the enterprise intent and the actual runtime state,” he said.

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