Skip to main content
Prompt Security from SentinelOne
  • AI Security Academy

    AI Security Academy

    Learn More
    Title of post

    What is AI Security

    AI security is not a neat, one-line definition you can slap on a slide.

    Learn More
    Title of post

    AI Security Glossary

    Explore some of the most common terms in AI Security

    Learn More
    Title of post

    AI Usage Stats

    Explore current AI usage trends.

  • Tools

    AI Security Tools

    Learn More
    Title of post

    OneClaw

    Track and analyze OpenClaw deployments in your org

    Learn More
    Title of post

    ClawSec

    Secure your OpenClaw, NanoClaw, and Hermes agents.

    Learn More
    Title of post

    Prompt Fuzzer

    Get our AI vulnerability assessment open source tool

  • Blog
  • Startup Map
  • Learn More
    Book a Demo
Prompt Security from SentinelOne
  • AI Security Academy

    AI Security Academy

    Learn More
    Title of post

    What is AI Security

    AI security is not a neat, one-line definition you can slap on a slide.

    Learn More
    Title of post

    AI Security Glossary

    Explore some of the most common terms in AI Security

    Learn More
    Title of post

    AI Usage Stats

    Explore current AI usage trends.

  • Tools

    AI Security Tools

    Learn More
    Title of post

    OneClaw

    Track and analyze OpenClaw deployments in your org

    Learn More
    Title of post

    ClawSec

    Secure your OpenClaw, NanoClaw, and Hermes agents.

    Learn More
    Title of post

    Prompt Fuzzer

    Get our AI vulnerability assessment open source tool

  • Blog
  • Startup Map
  • Learn More
    Book a Demo
Skip to main Content
Back to Blog
Back to Blog
Agentic AI
AI Risks

Prompt Security Top 10: Key Security Risks for MCPs

Written by: 
Lior Drihem
May 26, 2025

Following our initial exploration into the security landscape of Model Context Protocols (MCPs), we've continued digging deeper, and discovered a growing wave of hidden threats. As MCPs become smarter, effortlessly linking powerful LLMs to external tools, their vulnerabilities silently multiply. Like browser extensions quietly harvesting data or compromised plugins slipping under the radar, these subtle yet potent risks can quickly escalate into serious breaches.

Armed with these new insights, here’s an updated breakdown of the Top 10 MCP Security Risks your company can't afford to overlook.

‍

Top 10 MCP Security Risks: 

1. Prompt Injection

Prompt injection attacks involve malicious inputs provided directly by users or indirectly through compromised external data sources. These inputs are designed to manipulate AI behavior, tricking the AI into performing unintended actions such as unauthorized transactions, sensitive data leaks, or internal system compromises. Due to the interconnected nature of MCP systems, these malicious prompts can quickly propagate, significantly magnifying their impact across various company operations. 

Mitigation Tip: Regularly sanitize and validate AI inputs and implement comprehensive prompt monitoring strategies.

‍

2. Tool Poisoning

In tool poisoning attacks, adversaries exploit the inherent trust AI agents place in MCP tool metadata, including descriptions, parameters, and operational instructions. Attackers embed harmful commands or subtle alterations within this metadata, making it difficult for employees to detect malicious intent through routine inspections. This can lead to unintended actions and system vulnerabilities going unnoticed until considerable harm has occurred. 

Mitigation Tip: Routinely review and validate all MCP tool metadata, ensuring authenticity and integrity.

‍

3. Privilege Abuse

Privilege abuse arises when MCP tools are allocated more access and permissions than strictly necessary. Excessive privileges create significant security risks, as they can be exploited by malicious actors or inadvertently misused by employees, resulting in unauthorized access to sensitive data and critical system operations.

Mitigation Tip: Regularly audit and adhere to the principle of least privilege.

‍

4. Tool Shadowing and Shadow MCP

Tool shadowing involves malicious actors creating rogue MCP tools that closely mimic trusted services. Without robust validation, employees and AI agents may unintentionally use these harmful tools. Implementing proactive shadow MCP detection strategies ensures unauthorized tools are quickly discovered and removed, protecting company resources.

Mitigation Tip: Maintain a verified registry of trusted MCP tools and continuously scan for unauthorized or suspicious entries.

‍

5. Indirect Prompt Injection

Indirect prompt injection involves attackers embedding hidden malicious instructions within externally sourced or user-generated data accessed by AI agents through MCP servers. Because the AI agent integrates this data into its decision-making context, subtle manipulations can occur without immediate detection, leading to harmful outcomes. 

Mitigation Tip: Vigilantly handle and continuously monitor external content.

‍

6. Sensitive Data Exposure & Token Theft

Improperly configured MCP environments and inadequate data-handling practices can lead to the exposure of sensitive information, including API keys, tokens, and credentials. These vulnerabilities increase the risk of data breaches, unauthorized access to corporate resources, and significant operational disruptions. 

Mitigation Tip: Securely store credentials using encryption and regularly audit MCP settings to prevent data leaks.

‍

7. Command/SQL Injection & Malicious Code Execution

If MCP servers pass unvalidated user or external inputs to underlying databases or system commands, vulnerabilities such as command injection or SQL injection can arise. Attackers exploit these vulnerabilities to execute malicious code, gain unauthorized access to infrastructure, manipulate or delete critical data, and further compromise integrated systems.

Mitigation Tip: Enforce strict input validation, apply security patches promptly, and use parameterized queries to avoid injection attacks.

‍

8. Rug Pull Attacks

Rug pull attacks occur when MCP tools initially appear legitimate but suddenly become malicious after gaining user trust and widespread adoption. Attackers exploit this trust to abruptly alter tool behavior, steal sensitive data, disrupt critical business operations, or inflict financial harm before users can respond effectively.

Mitigation Tip: Use strict sandboxing and continuous behavior monitoring of MCP tools to quickly detect unexpected changes or malicious activity.

‍

9. Denial of Wallet/Service

Maliciously designed or compromised tools within the MCP ecosystem can be exploited to excessively consume resources or abuse the APIs of connected services. This can lead to unexpected and substantial financial costs for the organization due to API usage charges (Denial of Wallet) or cause disruptions and unavailability of critical services that the AI agent relies upon for its operations (Denial of Service) within the integrated MCP environment.

Mitigation Tip: Regularly review MCP tool configurations and enforce robust network segmentation.

‍

10. Authentication Bypass

Weak, misconfigured, or inadequately enforced authentication mechanisms across MCP environments enable attackers to bypass security controls, impersonate legitimate users or servers, and gain unauthorized access to sensitive systems. Authentication bypasses can facilitate extensive security breaches and operational compromises. 

Mitigation Tip: Adopt rigorous authentication methods, multi-factor authentication, and regular security audits.

‍

Why Is MCP Security Important?

With MCPs growing even faster than LLMs, understanding and managing these security risks is more critical than ever. Traditional security methods aren’t enough to control MCP interactions, especially when these protocols grant AI direct access to critical tools, sensitive data, and powerful prompts, often without human oversight.

MCPs might be a newer player in the ever-expanding world of AI, but you don’t have to navigate securing them alone. Stay tuned to see what we have in store! 

‍

Last Updated:

Share this post
Summarize this Post
On This Page

TOC Element

Related Posts

View All Posts
View All Posts
Learn More
Title of post

When AI Agents Become the Supply Chain: Hidden Control Planes in Agentic Systems

Agentic AI

AI Risks

Aug 20th, 2026

Three attack cases show how AGENTS.md files, marketplace skills, and dependencies give AI agents unauthorized authority, and what to test before trusting one.

Learn More
Title of post
Learn More
Title of post

ChatGPT Security Guide: Enterprise Risks, Incidents, and Practitioner Guidance

AI Risks

AI Resources

Jun 29th, 2026

What security teams actually need to know about ChatGPT: data handling, documented incidents, CISO guidance, and API risks.

Learn More
Title of post
Learn More
Title of post

The Agentic AI Attack Surface: Where Risk Lives Beyond the Prompt

AI Risks

Agentic AI

May 5th, 2026

Technical analysis of agentic AI security boundaries covering content ingestion, context translation, tool execution, and behavioral constraints in AI runtimes.

Learn More
Title of post
Prompt Security from SentinelOne
Log In
Log In
Learn More
Book a Demo

Resources

Blog
AI Security Glossary
What is AI Security?
PromptCast: The Voice of AI & Security
ClawSec
OneClaw
Prompt Fuzzer
AI Security Startup Map
© {{year}} Prompt Security. All Rights Reserved.
Privacy Policy
Terms of Service

Follow Us