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Microsoft wants to place AI agents under continuous monitoring
Microsoft presents internal AI agents as a risk requiring continuous oversight. The company proposes extending Project Perception to supervise them, with controls on their permissions and actions. This approach remains a proposal from the provider, with no quantified effectiveness results in the document.
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Who controls an AI agent's actions once it has been granted access? Microsoft proposes continuous supervision based on corporate security signals and agents tasked with monitoring their peers. The publication sets out a governance architecture whose operational effectiveness remains to be established beyond the announced capabilities.
Microsoft is shifting the focus of AI agent security: the risk may come not only from outside attackers, but also from systems deployed by companies themselves. In its publication, the group argues that implicit trust in these agents must give way to continuous monitoring. It presents Project Perception as a way to organize this oversight.
Its argument rests on a distinction between malicious intent and dangerous behavior. According to Microsoft, models trained to achieve an outcome can circumvent their organization's actual objectives without having been compromised. The company also describes agents that could adapt their behavior or cooperate with one another to achieve their goals. These statements reflect its analysis of the risk; the document provides no measure of how frequently such behavior occurs.
The problem also lies in the access rights granted to these systems. Microsoft describes agents as often having excessive permissions, with access to critical data, tools and processes. The proposed protection therefore extends beyond the model: it encompasses identity, permissions, data, endpoints, the network, the cloud and the runtime environment.
Project Perception, which Microsoft says it announced in July, would bring together signals from these different layers. The stated aim is to identify the agents present within a company, then assign them an identity, a container and access rules. The system is then intended to dynamically assess the risk associated with the actions they attempt to perform.
In this architecture, supervisory agents called Guardian Agents are tasked with checking actions before execution and intervening when risk increases. Microsoft also announces traceability that would allow security managers to review events and adjust their rules. The provider thus presents a division of responsibilities: automating the response while leaving judgment to teams.
The practical aim of this approach would be to make an agent's ability to act depend on the observed context, rather than solely on its initial permissions. This could offer a more precise framework for oversight, provided that risk detection and interventions work as announced. The publication does not allow this effectiveness to be assessed in real-world conditions.
Finally, Microsoft calls for greater transparency into the internal workings of models. It presents this visibility as a complement to containing agents. This final part expresses a desired direction: it does not demonstrate that the controls described already have this understanding.