AI governance shifts to runtime as always-on agents spread
SiliconANGLE Jonathan Anthony ● Covered by 2 sources
AI governance is shifting to the runtime context as always-on agents run across multiple enterprise platforms, making deterministic controls hard to apply. The article cites 11.4k+ CUBE alumni as part of the event coverage where this runtime governance problem was discussed. As a result, enterprises are moving to validate agent behavior during execution (including endpoint tools) and to limit where agents and LLM calls can operate, while seeking more standardized governance frameworks like the EU AI Act.
Why it matters
As enterprises move from debating artificial intelligence adoption to deploying it, AI governance has become the harder question. Autonomous agents now run around the clock across a sprawl of platforms, and controls built for deterministic software were never designed for them. 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.