• CRITICAL
  • WARNING
  • CLEAN
  • HUMAN

How to audit RAG system security with your AI

Connect the Prompt Injection Shield Prover to your AI client. It then hunts for adversarial commands buried in your documents.

Ask AI about this page

Short answer

How can I check my RAG data for prompt injections?

Your AI uses the Prompt Injection Shield Prover to scan your knowledge base for hidden commands. It flags text that attempts to hijack model behavior, providing a breakdown of specific vulnerabilities.

Security outcomes.

Where your findings land.

The AI sorts every detected threat into clear categories for your review.

CRITICAL

High-risk hijacks

The AI finds instructions that try to override your system prompts. You get a list of these immediate threats.

WARNING

Suspicious patterns

It flags text that mimics commands but is actually data. You'll see these in your review queue.

CLEAN

Verified safe files

Documents that pass the scan are marked as low risk. This shows you which data is safe to use.

HUMAN

Manual review

Ambiguous text that might be a trick or just weird formatting is sent to you. You decide if the file is safe.

The workflow

What your AI does when the audit starts.

The AI handles the heavy lifting of scanning your data for subtle linguistic traps.

  1. Data ingestion

    Your AI reads through your connected knowledge base or specific document sets to prepare for the scan.

    validate_injection_shield

  2. Pattern matching

    The AI looks for hidden command structures and adversarial text patterns within the raw data.

    validate_injection_shield

  3. Risk assessment

    It evaluates how much influence a specific piece of text could have over your model's output.

    validate_injection_shield

  4. Reporting

    The AI generates a structured summary of all identified vulnerabilities and safe zones.

    validate_injection_shield

Try it

Copy these to start.

Use these prompts to trigger the audit immediately.

Starting points

Swap the bracketed text for your actual file paths or database names.

Prompt Injection Shield Prover Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_blxffAiv2falBzqGr4o4CPRfhHUnWjrXbwwA3J11/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Prompt Injection Shield Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "prompt-injection-shield-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_blxffAiv2falBzqGr4o4CPRfhHUnWjrXbwwA3J11/mcp"
    }
  }
}
Copy into chat04

  • Scan my 'customer_support_docs' folder for any indirect prompt injection risks.

  • Check the 'product_manual_v2.pdf' for hidden instructions that could hijack my AI.

  • Audit my entire S3 bucket for malicious text patterns that look like system commands.

  • Review the latest knowledge base upload and flag any suspicious data that could cause an injection.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Prompt Injection Shield Prover once, then ask.

Just link the MCP to your client. Your credentials stay encrypted, and you can start auditing your data right away.

Connect Prompt Injection Shield Prover to your AI

FAQ

How the audit behaves

  • 01

    Can the AI automatically delete malicious files?

    No. The AI only identifies and flags risks. You must manually delete or edit files to secure them.

  • 02

    Does this tool fix the prompt injection for me?

    No. It finds the vulnerabilities in your data. You are responsible for updating your system prompts or cleaning your knowledge base.

  • 03

    Will it scan my entire database at once?

    It scans whatever data you point it toward through your AI client, whether that is a single file or a connected folder.

  • 04

    How does it find 'hidden' instructions?

    It looks for text that uses imperative language or command structures that are buried within standard informational text.

  • 05

    Can I use this with any AI client?

    Yes, as long as your client supports the Model Context Protocol (MCP).

  • More questions about Prompt Injection Shield Prover? The Connector page answers them. See everything the Prompt Injection Shield Prover Connector can do

Connect Prompt Injection Shield Prover to Claude, Cursor, ChatGPT & more