FEATURE: AGENTIC AI input, and as agentic AI becomes more autonomous – reducing, by design, the number of interactions needed with the user.
Would you agree that with AI agents requiring access to a broad range of systems and data, traditional access control models based on human roles are becoming obsolete? What are your thoughts on this?
Traditional role-based access control models rely on clearly defined human roles and responsibilities, which don’ t always translate well to AI. Many current AI tools – especially general-purpose digital assistants like ChatGPT’ s new agent – require broad access because they handle a wide variety of tasks across multiple systems. For these tools, traditional role-based models struggle since the AI doesn’ t fit neatly into a single role and may need to access many unrelated resources. That said, the future likely lies in more specialised agents optimised for specific tasks, which could better align with targeted access controls. So, while traditional role-based access
THE INDUSTRY IS MOVING
TOWARD‘ LEAST PRIVILEGE’ MODELS FOR AI AGENTS – GRANTING THEM ONLY
THE MINIMUM ACCESS NEEDED TO PERFORM THEIR
SPECIFIC TASKS.
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