Rahsi PromptWall™ | Prompt Injection Firewall for Microsoft 365 Agents
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Microsoft’s AI security direction is clear:
Enterprise agents cannot be secured by prompts alone.
Indirect prompt injection targets the layer Microsoft 365 Copilot, Copilot Studio agents, SharePoint knowledge, Graph-grounded workflows, emails, documents, plugins, MCP tools, and external content all depend on:
Untrusted content.
A hidden instruction inside an email, webpage, shared file, tool response, or knowledge source can attempt to influence an agent in unsafe ways, including:
- Ignoring system instructions
- Exposing sensitive data
- Misusing user permissions
- Calling the wrong tool
- Generating unsafe links
- Performing unintended actions
- Leaking data through external channels
That is why the Microsoft security model keeps pointing to one principle:
Defense-in-depth for AI agents
Not one prompt.
Not one filter.
Not one DLP rule.
Not one governance policy.
A real enterprise AI security layer must account for:
Prompt Shields
Detecting direct and indirect jailbreak or injection attempts.Trusted vs. Untrusted Content Separation
Distinguishing user intent from external content.Least Privilege
Ensuring agents only access what they are authorized to use.Tool and Connector Governance
Applying control over how agents interact with tools, plugins, and data sources.Human Oversight
Keeping high-impact actions reviewable and accountable.Purview, DLP, and Sensitivity Labels
Preserving enterprise data boundaries, auditability, retention, and leakage prevention.SharePoint Governance
Reducing the risk of overshared content becoming AI-accessible content.Runtime Monitoring
Treating agent behavior, audit signals, and AI activity as part of the enterprise control plane.
This is the security gap Rahsi PromptWall™ is designed to address inside the R.A.H.S.I. Framework™:
A policy-aware prompt injection firewall concept for Microsoft 365 agents that treats prompts, documents, connectors, tool responses, and AI actions as governed security events.
The future of enterprise AI is not just “build agents.”
It is:
Build agents that can be governed.
Build agents that can be audited.
Build agents that can be contained.
That is the PromptWall thesis.

aakashrahsi.online
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