WorkThe story, in brief
Across the enterprise, AI agents have outpaced the infrastructure meant to support them
Enterprise AI agents are moving faster than the systems built to control them. The real bottleneck isn't performance—it's governance.
The KeyNews take
Why it matters
As AI agents proliferate in production, enterprises face a critical gap between deployment speed and operational control infrastructure. This signals a shift in how leaders should think about resilience: from uptime to shock absorption across geopolitical, tech, and financial vectors.
The key facts
4 to knowOpen-source platforms actively closing infrastructure gap
Autonomous operations expose control as deeper problem than performance
Enterprise resilience definition shifted from uptime to multi-vector shock absorption
Governance and risk management emerging as primary constraint on agent deployment
Go to the source
SiliconAnglesiliconangle.com
Publisher excerpt: As open-source platforms scramble to close the infrastructure gap, enterprises are discovering that autonomous operations expose a deeper problem than performance: control. The conversation around enterprise resilience has shifted dramatically. A few years ago, resilience meant uptime. Today, it…