DevOps / SRE / Platform · 25.08.2026, 15:48 UTC
AI agents are spreading fast. Their rules are still catching up.
| Schweregrad | info |
|---|---|
| Kategorie | DevOps / SRE / Platform |
| Quelle | The New Stack ↗ |
| Veröffentlicht | 25.08.2026 UTC |
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AI agents are already inside the enterprise, but the rules for controlling them haven’t caught up yet.
Some 86% of respondents in a survey released on Tuesday are already using AI agents embedded in applications, but just 12% said the risks addressed by sovereign AI are widely understood inside their organizations.
That’s a significant gap, as agents can now reach beyond text generation to interact directly with company systems and data. The IDC survey was commissioned by the Canadian AI company Cohere.
“The main way this creates problems is in terms of observability and guardrails around who in an organization can access what info, including sensitive data,” a Cohere spokesperson tells The New Stack in response to questions about the research. “Any enterprise deploying AI and agentic systems wants to be able to monitor agent activity, to provide predictability in terms of both spend and security.”
For Cohere, that control starts with the architecture underneath the agent.
Joelle Pineau, Cohere’s chief AI officer, tells The New Stack that “sovereignty is fundamentally an architectural question. If AI is tied to a single provider or governed by terms that can change, you don’t have control; you have dependency.”
Agents outpace sovereignty awareness
IDC defines sovereign AI as the ability to exercise free choice and control over the design, development, deployment, accessibility, operation, maintenance, and governance of AI systems and applications, as well as the underlying technology they depend on.
“Sovereignty is fundamentally an architectural question. If AI is …