OWASP Releases: CheatSheet – A Practical Guide for Securely Using Third-Party MCP Servers
🚀 The Open Worldwide Application Security Project (OWASP) has published: A Practical Guide for Securely Using Third-Party MCP Servers 1.0
This new guide from the OWASP GenAI Security Project provides a comprehensive resource for organizations and developers adopting the Model Context Protocol (MCP).
As the use of MCP servers expands, connecting AI systems to tools, APIs, and data, so does the need for robust security practices.
The Practical Guide for Securely Using Third-Party MCP Servers from the OWASP GenAI Security Project provides a detailed framework for safely deploying and managing external Model Context Protocol (MCP) servers
It outlines the unique security risks introduced by connecting AI models to third-party tools and data sources, including tool poisoning, prompt injection, memory poisoning, and tool interference. The guide offers actionable mitigations covering authentication, authorization, client sandboxing, secure server discovery, and governance workflows, emphasizing least-privilege access and human-in-the-loop oversight.
This guide provides actionable recommendations to mitigate the following emerging risks such as:
🔹 Tool poisoning and prompt injection
🔹 Memory poisoning and tool interference
🔹 Authentication, authorization, and secure client-server discovery
🔹 Governance and automated security tooling
Whether you’re integrating third-party MCP servers or building AI agent ecosystems, this document will help you strengthen your defenses against evolving GenAI threats.
Download the full guide HERE
About Gen AI Security Project
Businesses, eager to harness the potential of LLMs and Generative AI are rapidly integrating them into their operations and client facing offerings. The OWASP Gen AI Security Project helps organizations and practitioners navigate the fast-changing generative AI landscape. With practical resources, risk strategies, and global collaboration, it enables confident innovation while reducing threats in LLMs, AI agents, and other generative AI technologies—fostering trust, compliance, and resilience.
Who is it for?
The OWASP Generative AI Security Project supports those shaping, building, and securing generative AI systems—including CISOs, IT leaders, security teams, engineers, developers, and policymakers. It offers practical guidance and open-source tools to manage the evolving security challenges of LLMs and generative AI.
Learn more about the OWASP Gen AI Security Project and become a contributor HERE
Cyber Security Consultant | help companies to improve security posture and obtain business critical certifications
5dReally appreciate how this OWASP cheat sheet bridges the gap between AI innovation and security. As AI becomes part of almost every product, having clear, practical guidance like this is essential to build systems that are both smart and safe
The new OWASP CheatSheet for securely using third-party MCP servers is a valuable resource for anyone working with AI systems and integrations. As these technologies expand, robust security practices become non-negotiable. A great time to #upskill, invest in #training, and embrace #innovation through programs like #AcademyIT. Knowledge is the foundation of resilience.
GET SOCIAL, OR GET LOST! | Financial, FinTech, and Cybersecurity B2B Content Writer | FinTech and Wall Street Lead Generation
5dThis OWASP release is a welcome addition to our security toolkit, offering clear guidance for navigating the complexities of third-party MCP servers. It’s inspiring to see the community proactively addressing new AI integration challenges. I'm looking forward to exploring how these recommendations can help us build even more resilient AI systems, ensuring innovation thrives alongside safety.
Engenheiro & Cientista | Técnico em Mecatrônica e Automação | Especialista em IA e Consultor Técnico | Experiência em Finanças, Vendas e Inovação
5dIn short, the main rationale for the OWASP publication is for organizations employing the Model Context Protocol, as it effectively integrates various AI systems with tools and data, third-party AI models, APIs, and tools. This requires AI ecosystems to address unique risks such as API poisoning, command injection, and server cannibalization. The guide recommends effective authentication, authorization, client isolator, and governance measures under human supervision. In summary, the security of additional nodes and AI Core members is imperative under emerging metrics and the possibility of ensuring the security or reliability of advanced AI ecosystems. GitHub: https://github.com/Fernando92756 Kaggle: https://www.kaggle.com/fernandollsalvador Youtube: https://www.youtube.com/@fernandoliazarluembasalvad1364 LinkedIn: https://www.linkedin.com/in/fernando-liazar-luemba-salvador-b29428234/ Instagram: https://www.instagram.com/fernandoliazarsalvador/ TikTok: https://www.tiktok.com/@fernandosalvador510?lang=pt_BR Facebook: https://www.facebook.com/fernandoliazarsalvador.carmo/ Twitter: https://x.com/LiazarFernando
Founder at ITeeCMD | Host of Multiverse Technology Podcast | Championing Proactive Cybersecurity & Behavioral Change in Healthcare | Empowering Leadership & Human Connection
5dTimely resource from OWASP. Third-party integrations are often the weakest link in security postures - they expand your attack surface quickly. Organizations need to treat MCP servers with the same scrutiny as any other third-party access point. This cheatsheet should be required reading for any team implementing AI integrations.