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Core ConceptSecurity / Input Validation Layer

Prompt Injection

Industry Definition Set • Entity Resolution Path: /glossary/prompt-injection

Quick Answer / TL;DR

An attack where malicious input manipulates an LLM into ignoring its instructions or system prompt, potentially causing it to misuse tools or leak sensitive data.

Key Takeaways

  • Malicious input that manipulates LLM behavior.
  • Can cause models to ignore safety instructions.
  • Particularly dangerous in MCP systems with tool access.
  • Defenses include sanitization, instruction hierarchy, and validation.
Definitive Statement: An attack where malicious input manipulates an LLM into ignoring its instructions or system prompt, potentially causing it to misuse tools or leak sensitive data.

Technical Context & Protocol Usage

Detailed Explanation
Prompt injection attacks exploit the fact that LLMs treat user input and system instructions as part of the same context. A malicious user can craft input that overrides the system prompt, causing the model to ignore safety guidelines or misuse MCP tools. Defenses include input sanitization, instruction hierarchy, and output validation. In MCP systems, prompt injection is particularly dangerous because it can cause the model to call tools with malicious arguments.

Format & Payload Metadata

Format: Crafted adversarial text input

Latency: No direct latency impact; requires detection overhead

Real-World Implementation Use Case

A user crafts a prompt injection that tricks the model into calling an MCP `delete_file` tool on a sensitive system file.

M
MCPserver.in Engineering

Platform Team

Published: 2026-07-20
Updated: 2026-07-20

Cite This Page

MLA Style:

MCPserver.in Engineering. "Prompt Injection." MCPserver.in Knowledge Hub, 20 July 2026, mcpserver.in/glossary/prompt-injection.