The Model Is Not the Security Boundary: How to Secure AI Workflows

Picture a fairly ordinary MSP automation project. The first version reads an incoming support ticket and produces a summary for the technician. It saves a little time, touches one source of information, and cannot change anything. Then the team connects it to the documentation platform so it can suggest a fix. Someone adds access to the RMM, then the ticketing system, then email. Before long, the same workflow can read a customer request, search internal documentation, choose a script, run it against an endpoint, update the ticket, and notify the customer.Nothing in that progression sounds reckless by itself. Each addition solves a real problem, and each one makes the demonstration more impressive. Taken together, however, they create a privileged operator that receives instructions through natural language and works across several customer systems. The security question is no longer whether the model writes a good summary. It is whether the business has put reliable limits around…