New Delhi, Oct. 2 -- AI agents are moving from answering questions to taking actions on behalf of users. That shift can become a problem when the agent receives a wide-ranging permission to use it, as seen in September 2026, when both OpenAI's models and Meta's Muse caused incidents. The systems were doing what they were supposed to do, but in ways that were unexpected by a developer or users.

These events illustrate the emergence of a new problem with agentic AI: an AI may be able to perform an action, but it may not be able to determine whether a specific action is the right one. As more agents have access to websites, accounts, personal information, finances, human oversight, limited permissions and defined stop points, they are more ...