Microsoft highlights risks from internal AI agents
In a post dated 19 October 2026, Microsoft discusses risks created by AI agents operating inside organizations. It emphasizes agent identity, limited permissions and monitoring across data, tools and execution environments, presenting Project Perception as an approach to supervision and governance.
This matters when AI begins using tools and participating directly in business processes.
Suggested design for an agent-assisted workflow
Consider a business automating customer-request intake. An initial trial could let an agent read approved documents, classify requests and draft proposed responses. Actions that change business records need clearly defined approval rules.
The project team can specify:
- Identity: which account does the agent use, and who manages it?
- Permissions: which records may it read, draft or change?
- Approval: which actions require employee confirmation before execution?
- Traceability: can staff review the tools called, information used and changes made?
- Recovery: how can a person stop a task and resolve an incorrect change?
These decisions should be implemented through application controls as well as natural-language instructions. Microsoft's separate guidance on execution containers also describes resource boundaries enforced outside the agent workload.
Measure outcomes and operational control
Evaluate the trial using both business results and operational behavior. Alongside processing time, track tasks requiring correction, cases with insufficient information and work handed back to employees.
Useful scenarios include incomplete requests, conflicting documents, tool failures and attempts to act beyond granted permissions. The results can guide the next phase of automation.
Discuss a business workflow with Vietek.
Sources
- Microsoft: Securing the agentic insider, 19 October 2026.
- Microsoft: policy-driven containment for AI agents, 7 October 2026.
Information checked as of 27 October 2026.