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Aakash Rahsi
Aakash Rahsi

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Rahsi PromptWall™ | Prompt Injection Firewall for Microsoft 365 Agents | R.A.H.S.I. Framework™

Rahsi PromptWall™ | Prompt Injection Firewall for Microsoft 365 Agents

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Rahsi PromptWall™ | Prompt Injection Firewall for Microsoft 365 Agents | R.A.H.S.I. Framework™

Rahsi PromptWall™ secures Microsoft 365 agents from prompt injection with AI firewall, Purview, DLP, Zero Trust, and agent governance now!!!

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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:

  1. Prompt Shields
    Detecting direct and indirect jailbreak or injection attempts.

  2. Trusted vs. Untrusted Content Separation
    Distinguishing user intent from external content.

  3. Least Privilege
    Ensuring agents only access what they are authorized to use.

  4. Tool and Connector Governance
    Applying control over how agents interact with tools, plugins, and data sources.

  5. Human Oversight
    Keeping high-impact actions reviewable and accountable.

  6. Purview, DLP, and Sensitivity Labels
    Preserving enterprise data boundaries, auditability, retention, and leakage prevention.

  7. SharePoint Governance
    Reducing the risk of overshared content becoming AI-accessible content.

  8. 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.

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