Episode
Is Your Copilot Safe: Stop Prompt Injections with Azure Logic Apps
- Published
- May 5, 2026
- Duration seconds
- 1192
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Summary
Your Copilot problem isn’t a feature issue—it’s a trust failure in the model behind it. Most organizations still believe safety lives in prompts, permissions, and a few edge filters. But attackers don’t need to break your prompt—they just need to poison the context around it. That’s where everything collapses. Hidden payloads inside emails, SharePoint files, or form inputs sit quietly until Copilot retrieves them and treats them like instructions. Incidents like EchoLeak and ShareLeak already proved the pattern—and patches didn’t fix the root cause. Because Copilot operates across Microsoft 365, one poisoned input can propagate fast. This episode shows why the real fix isn’t another dashboard—it’s inserting Azure Logic Apps as a control layer before execution. THE REAL DANGER IS THE ARCHITECTURE, NOT THE PROMPT The traditional approach assumes you can secure AI by writing better prompts. Strong system messages, delimiters, and user guidance feel logical—but they don’t create real security boundaries. The model processes everything in a shared language channel where data and instructions compete equally. That’s the flaw. Once Copilot starts retrieving from Microsoft Graph—emails, files, chats—the attack surface explodes. You’re no longer securing a conversation; you’re securing a live stream of mixed-trust inputs. Indirect prompt injection becomes the real threat: attackers plant malicious instructions in content long before it’s ever retrieved. When Copilot pulls that data later, it blends it into context—and the model follows it. The result? Sensitive data exposure, manipulated outputs, or even downstream actions triggered by poisoned inputs. WHY BASIC DEFENSES FAIL IN PRODUCTION Most teams rely on familiar controls—better prompts, delimiters, regex filters, and user…