FEATURE: AGENTIC AI
models might not fit the current reality of AI tools, this challenge may diminish as agentic AI matures and becomes more specialised.
What new models or frameworks, such as a‘ least privilege’ approach for AI agents, are gaining traction across the industry to ensure that these agents have only the necessary permissions to function without creating unacceptable security risks?
The industry is moving toward‘ least privilege’ models for AI agents – granting them only the minimum access needed to perform their specific tasks. OpenAI, for example, applies this approach by restricting what ChatGPT agents can access and do. Crucially, users remain in control of these permissions, making it vital that they clearly understand which systems and data they are granting access to, along with the potential risks involved. Time-bound or task-specific permissions offer promising ways to limit exposure, and easy-touse mechanisms for users to revoke access when needed are equally important.
Organisations are under immense pressure to leverage AI for a competitive advantage, often at the risk of cutting security corners. What strategies can help prevent this?
The pressure to adopt AI quickly can push companies to bolt new tools onto existing workflows without fully understanding what they’ re introducing. That’ s not just a security risk – it’ s also a strategic
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