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Cheat Sheet

🧠 Use AI with Confidence — Mitigate PII Risks with Practical Safeguards

Understand how AI agents and LLMs leak sensitive data—and how to stop it.

PII_Risk_Leak_LLM_Cheat_Sheet.png

As enterprises adopt AI agents and large language models, they face new exposure risks:

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🔍 Prompt injection
🔓 Token theft
📤 Logging of sensitive data
🔗 System-wide access via MCP

 

Get this free cheat sheet for a fast, structured overview of:
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  • Top PII leakage risks from LLMs and Model Context Protocol (MCP)

  • Key attack vectors from model input to runtime to logging

  • Practical mitigation strategies from redaction to agent isolation

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A concise reference for security architects, AI leads, and compliance officers deploying generative AI in regulated environments.

 

What’s Inside:

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  • Key vulnerabilities of AI agents and LLM integrations

  • Visual breakdown of MCP and agent-based risk exposure

  • Six mitigation best practices per layer: input, model, context, token, identity

  • Ready-to-use checklist for internal risk reviews

Get our Cheat Sheet

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