Cybersecurity: Not All AI Agents Pose the Same Risk

A recent Gartner article on the cybersecurity challenges posed by Agentic AI says that, as always seems to be the case with AI, governance efforts lag development and adoption of Agentic AI tools. However, the article notes that in designing their security programs, CISOs need to recognize that not all AI agents pose the same risk:

One of the biggest misconceptions about AI cybersecurity governance is that every AI agent requires the same level of oversight. When accessing [sic] risk, CISOs should start with a practical approach that prioritizes risk reduction based on two key factors: the sensitivity of the data an agent can access and its level of autonomy (the combination of agency and automation).

Some agents operate within defined enterprise applications, while others act independently, connect to multiple resources or generate business logic through large language models. As autonomy increases, so does the potential impact of misuse, compromise or unintended behavior.

To gain meaningful oversight, it is advisable for cybersecurity leaders to create AI agent risk profiles, document each agent’s permissions and scope, and categorize agents according to business risk. This approach helps organizations focus their attention where potential disruption is greatest. As this might not be fast enough, cybersecurity leaders must also adopt a “track back” inventory, for example by monitoring changes in utilization patterns for their sensitive APIs.